System for rapid evaluation of organic matter content and maturity of oil shale by laser confocal

Abstract

The application discloses an oil shale organic matter content and maturity laser confocal rapid evaluation system and belongs to the technical field of oil shale. The system comprises a sample preparation and placement unit, a laser confocal microscope unit, an illumination temperature control unit, an image processing and analysis unit, a visual data output unit and an evaluation report generation unit. The application solves the problem of the existing evaluation method for the oil shale organic matter content and maturity, which is slow and inaccurate, cannot provide a scientific basis for oil shale resource evaluation and development decision-making, and leads to the problem that oil shale resources cannot be fully developed and utilized. The application utilizes advanced laser scanning confocal microscope technology and a specially developed software algorithm to realize rapid and accurate evaluation of the organic matter content and maturity of oil shale samples, improve evaluation efficiency and accuracy, and significantly improve the efficiency and accuracy of oil shale exploration and development, thereby providing a scientific basis for oil shale resource evaluation and development decision-making.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oil shale, in particular to an oil shale organic matter content and maturity laser confocal rapid evaluation system. BACKGROUND

[0002] Oil shale is a high-ash combustible organic matter-containing sedimentary rock, and its main difference from coal is that the ash content is more than 40%, and its main difference from carbonaceous shale is that the oil content is greater than 3.5%; oil shale is a non-conventional oil and gas resource, and is listed as a very important replacement energy in the 21st century due to its abundant resources and feasibility of development and utilization. Like oil, natural gas and coal, oil shale is a non-renewable fossil energy. Oil shale resources are abundant and significant, so oil shale is often developed and utilized.

[0003] The existing evaluation method for the organic matter content and maturity of oil shale is slow and inaccurate, and cannot provide a scientific basis for oil shale resource evaluation and development decision-making, resulting in that oil shale resources cannot be fully developed and utilized. SUMMARY

[0004] The purpose of the present application is to provide an oil shale organic matter content and maturity laser confocal rapid evaluation system, which uses advanced laser scanning confocal microscope technology and combines with specially developed software algorithms to realize rapid and accurate evaluation of the organic matter content and maturity of oil shale samples, improve the evaluation efficiency and accuracy, and significantly improve the efficiency and accuracy of oil shale exploration and development, providing a scientific basis for oil shale resource evaluation and development decision-making, and solving the problems raised in the above background technology.

[0005] To achieve the above purpose, the present application provides the following technical scheme:

[0006] The oil shale organic matter content and maturity laser confocal rapid evaluation system comprises:

[0007] A sample preparation and placement unit is used to prepare the oil shale sample into a suitable form for laser confocal microscopic imaging, and accurately position the prepared oil shale sample under the microscope;

[0008] A laser confocal microscope unit is used to perform laser scanning confocal processing on the oil shale sample to obtain high-definition microscopic images and fluorescence characteristics based on the oil shale sample;

[0009] An illumination temperature control unit is used to adjust the illumination conditions and temperature conditions to adapt to the fluorescence excitation conditions of different oil shale samples;

[0010] An image processing analysis unit is configured to process high-definition microscopic images of the oil shale sample, automatically analyze the high-definition microscopic images of the oil shale sample in combination with fluorescence characteristics of the oil shale sample, and calculate and evaluate the organic matter content and maturity of the oil shale sample to determine the organic matter content and maturity of the oil shale sample.

[0011] A visualization data output unit is configured to output the results of the organic matter content and maturity of the oil shale sample and visually display the results of the organic matter content and maturity of the oil shale sample.

[0012] An evaluation report generation unit is configured to automatically generate an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale sample, store the organic matter content and maturity evaluation report based on the oil shale sample, and export the organic matter content and maturity evaluation report based on the oil shale sample.

[0013] Preferably, the sample preparation and placement unit comprises:

[0014] A sample preparation unit is configured to prepare the oil shale sample in a form suitable for laser confocal microscopic imaging.

[0015] Based on the requirement for rapid evaluation of the organic matter content and maturity of the oil shale sample by laser confocal microscopy.

[0016] The sample preparation tool is used to prepare the oil shale sample to obtain an oil shale sample in a form suitable for laser confocal microscopic imaging.

[0017] A positioning and placement unit is configured to accurately position and place the prepared oil shale sample under a microscope.

[0018] The prepared oil shale sample suitable for laser confocal microscopic imaging is obtained.

[0019] The oil shale sample is accurately positioned based on the accurate positioning tool, and the oil shale sample is accurately positioned and placed under the microscope.

[0020] Preferably, the laser confocal microscope unit comprises:

[0021] A laser scanning confocal microscope is configured to perform laser scanning confocal processing on the oil shale sample.

[0022] After the oil shale sample is accurately positioned and placed under the microscope, a laser is used as a scanning light source to perform point-by-point, line-by-line, and surface-by-surface rapid scanning imaging. The scanning laser and fluorescence collection share one objective lens. The focal point of the objective lens is the focal point of the scanning laser, and is also the object point of instantaneous imaging. After focusing, the scanning is limited to one plane of the oil shale sample.

[0023] An image acquisition unit is configured to acquire high-definition microscopic images of the oil shale sample.

[0024] The oil shale sample is subjected to laser scanning confocal treatment by using a laser scanning confocal microscope, and high-definition microscopic images of different depth levels of the oil shale sample are obtained by adjusting the depth of focus, and the high-definition microscopic images based on the oil shale sample are determined;

[0025] The characteristic acquisition unit is configured to acquire the fluorescence characteristics of the oil shale sample;

[0026] The oil shale sample is subjected to laser scanning confocal treatment by using a laser scanning confocal microscope, and the fluorescence characteristics of different depth levels of the oil shale sample are obtained by adjusting the depth of focus, and the fluorescence characteristics based on the oil shale sample are determined.

[0027] Preferably, the illumination temperature control unit comprises:

[0028] The illumination control unit is configured to adjustably control the illumination conditions.

[0029] The illumination conditions are adjustably controlled according to the fluorescence excitation condition requirements of different oil shale samples to adapt to the fluorescence excitation conditions of different oil shale samples.

[0030] The temperature control unit is configured to adjustably control the temperature conditions.

[0031] The temperature conditions are adjustably controlled according to the fluorescence excitation condition requirements of different oil shale samples to adapt to the fluorescence excitation conditions of different oil shale samples.

[0032] Preferably, the adjustably controlling the illumination conditions comprises:

[0033] The temperature value of the current oil shale sample is extracted.

[0034] The illumination intensity under the current illumination conditions is extracted.

[0035] An illumination intensity compensation coefficient is acquired according to the temperature value of the current oil shale sample and the illumination intensity under the current illumination conditions; wherein the illumination intensity compensation coefficient is acquired by the following formula:

[0036]

[0037] Wherein, σ represents the illumination intensity compensation coefficient; B represents the actual illumination intensity under the current illumination conditions; T represents the actual temperature value of the current oil shale sample; T0 represents the target temperature value of the current oil shale sample; B0 represents the target illumination intensity value of the current oil shale sample; λ represents the adjustment coefficient; and the adjustment coefficient is acquired by the following formula:

[0038]

[0039] wherein k represents a ratio between the minimum heat transfer amount and the maximum heat transfer amount of the current oil shale sample; t represents an illumination duration corresponding to the actual illumination intensity of the current illumination; T c represents an initial surface temperature of the current oil shale sample;

[0040] obtaining a maximum adjustment gradient and a minimum adjustment gradient of the illumination adjustment by using the illumination intensity compensation coefficient and a target illumination intensity corresponding to an illumination adjustment target;

[0041] adjusting the illumination intensity by using the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment as a constraint adjustment, so that the illumination intensity reaches a preset target illumination intensity.

[0042] Preferably, the step of obtaining the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment by using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target comprises:

[0043] obtaining the illumination intensity compensation coefficient;

[0044] obtaining the target illumination intensity corresponding to the illumination adjustment target;

[0045] obtaining the maximum adjustment gradient of the illumination adjustment by using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target, wherein the maximum adjustment gradient is obtained by the following formula:

[0046]

[0047] wherein B max represents the maximum adjustment gradient; σ represents the illumination intensity compensation coefficient; B m represents the target illumination intensity corresponding to the illumination adjustment target; B represents the actual illumination intensity under the current illumination condition;

[0048] obtaining the minimum adjustment gradient of the illumination adjustment by using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target, wherein the minimum adjustment gradient is obtained by the following formula:

[0049]

[0050] wherein B min represents the minimum adjustment gradient.

[0051] Preferably, the image processing and analysis unit comprises:

[0052] an image processing unit, configured to process a high-definition microscopic image based on the oil shale sample;

[0053] obtaining a high-definition microscopic image based on the oil shale sample;

[0054] The high-definition microscopic image based on the oil shale sample is subjected to encoding compression, enhancement and restoration, segmentation, description and identification processing to determine the organic matter structure based on the high-definition microscopic image.

[0055] The automatic analysis unit is configured to automatically analyze the high-definition microscopic image based on the oil shale sample in combination with the fluorescence characteristics of the oil shale sample.

[0056] The fluorescence characteristics of the oil shale sample are obtained.

[0057] The organic matter structure based on the high-definition microscopic image is obtained.

[0058] The high-definition microscopic image based on the oil shale sample is automatically analyzed in combination with the fluorescence characteristics and the fluorescence intensity of the oil shale sample to determine the automatic analysis result of the oil shale sample.

[0059] The calculation and evaluation unit is configured to calculate and evaluate the organic matter content and maturity of the organic matter structure based on the high-definition microscopic image.

[0060] The automatic analysis result of the oil shale sample is obtained.

[0061] The calculation and evaluation of the organic matter content and maturity of the organic matter structure based on the high-definition microscopic image is performed according to the automatic analysis result of the oil shale sample to determine the organic matter content and maturity of the oil shale sample.

[0062] Preferably, the high-definition microscopic image based on the oil shale sample is subjected to encoding compression, enhancement and restoration, segmentation, description and identification processing to perform the following operations:

[0063] The high-definition microscopic image based on the oil shale sample is obtained.

[0064] The high-definition microscopic image based on the oil shale sample is subjected to encoding compression based on image encoding compression technology.

[0065] The lossless encoding compressed high-definition microscopic image is determined.

[0066] The lossless encoding compressed high-definition microscopic image is obtained.

[0067] The lossless encoding compressed high-definition microscopic image is subjected to enhancement and restoration processing.

[0068] The high-definition microscopic image noise is removed to improve the clarity of the high-definition microscopic image.

[0069] The high-definition microscopic image after enhancement and restoration processing is determined.

[0070] The high-definition microscopic image after enhancement and restoration processing is obtained.

[0071] Segmenting the high-definition micrograph after enhancement and restoration processing;

[0072] Extracting meaningful features in the high-definition micrograph;

[0073] The meaningful features include edges and regions in the image.

[0074] Determining the segmented high-definition micrograph;

[0075] Obtaining the segmented high-definition micrograph;

[0076] Describing the segmented high-definition micrograph;

[0077] Determining the described high-definition micrograph;

[0078] Obtaining the described high-definition micrograph;

[0079] Identifying the described high-definition micrograph;

[0080] Determining the organic matter structure based on the high-definition micrograph.

[0081] Preferably, the visualization data output unit comprises:

[0082] A result output unit configured to output the organic matter content and maturity results based on the oil shale sample.

[0083] Obtaining the organic matter content and maturity based on the oil shale sample, and outputting the organic matter content and maturity results based on the oil shale sample.

[0084] A visualization display unit configured to visually display the outputted organic matter content and maturity results based on the oil shale sample.

[0085] Obtaining the outputted organic matter content and maturity results based on the oil shale sample, and visually displaying the organic matter content and maturity results based on the oil shale sample.

[0086] Preferably, the evaluation report generation unit comprises:

[0087] A report generation unit configured to automatically generate an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale sample.

[0088] Obtaining the organic matter content and maturity based on the oil shale sample.

[0089] Automatically summarizing the organic matter content and maturity based on the oil shale sample, and generating an organic matter content and maturity evaluation report based on the oil shale sample.

[0090] a data exporting unit configured to export the generated report on the content of organic matter and maturity of the oil shale sample;

[0091] obtaining a report on the content of organic matter and maturity of the oil shale sample;

[0092] and storing and exporting the report on the content of organic matter and maturity of the oil shale sample.

[0093] Compared with the prior art, the present application has the following advantages:

[0094] The present application utilizes advanced laser scanning confocal microscopy technology, combined with specially developed software algorithms, to realize rapid and accurate evaluation of the content of organic matter and maturity of oil shale samples, combining optical imaging, fluorescence characteristic analysis and automatic image processing technology, automatically analyzing the microstructure and fluorescence characteristics of the oil shale sample to automatically analyze its content and maturity, realizing quantitative evaluation of the content of organic matter and maturity, improving the evaluation efficiency and accuracy, forming a complete automatic evaluation process from sample preparation to data analysis, significantly reducing the operation difficulty and time cost, and significantly improving the efficiency and accuracy of oil shale exploration and development, providing a scientific basis for oil shale resource evaluation and development decision-making, and having wide application prospect and commercial value. BRIEF DESCRIPTION OF DRAWINGS

[0095] Figure 1 FIG. 1 is a block diagram of the oil shale organic matter content and maturity laser confocal rapid evaluation system of the present application. DETAILED DESCRIPTION

[0096] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0097] To solve the problem of the existing evaluation method for the content of organic matter and maturity of oil shale, which is slow and inaccurate, and cannot provide a scientific basis for oil shale resource evaluation and development decision-making, leading to the problem that oil shale resources cannot be fully developed and utilized, please refer to Figure 1 The present embodiment provides the following technical solutions:

[0098] The oil shale organic matter content and maturity laser confocal rapid evaluation system comprises a sample preparation and placement unit, a laser confocal microscope unit, an illumination temperature control unit, an image processing and analysis unit, a visual data output unit and an evaluation report generation unit.

[0099] It should be noted that through the mutual communication between the sample preparation placement unit, the laser confocal microscope unit, the illumination temperature control unit, the image processing analysis unit, the visual data output unit and the evaluation report generation unit, the advanced laser scanning confocal microscope technology is used, combined with the specially developed software algorithm, the rapid and accurate evaluation of the organic matter content and maturity of the oil shale sample is realized, which combines optical imaging, fluorescence characteristic analysis and automatic image processing technology, analyzes the microstructure and fluorescence characteristics of the oil shale sample, automatically analyzes the content and maturity, realizes the quantitative evaluation of the organic matter content and maturity, improves the evaluation efficiency and accuracy, forms a complete automatic evaluation process from sample preparation to data analysis, significantly reduces the operation difficulty and time cost, can significantly improve the efficiency and accuracy of oil shale exploration and development, provides a scientific basis for oil shale resource evaluation and development decision, has a wide application prospect and commercial value.

[0100] The sample preparation placement unit is used for preparing the oil shale sample in a form suitable for laser confocal microscopic imaging, and accurately positioning the prepared oil shale sample under the microscope.

[0101] In this embodiment, the sample preparation placement unit comprises:

[0102] The sample preparation unit is used for preparing the oil shale sample in a form suitable for laser confocal microscopic imaging.

[0103] Based on the requirement of rapid evaluation of the organic matter content and maturity of oil shale;

[0104] The sample preparation tool is used to prepare the oil shale sample, and the oil shale sample in a form suitable for laser confocal microscopic imaging is prepared.

[0105] The positioning placement unit is used for accurately positioning the prepared oil shale sample under the microscope.

[0106] The prepared oil shale sample suitable for laser confocal microscopic imaging is obtained.

[0107] The oil shale sample is accurately positioned based on the accurate positioning tool, so that the oil shale sample is accurately positioned under the microscope.

[0108] It should be noted that the simple and efficient sample preparation tool and accurate positioning tool are designed, which can ensure the stability and repeatability of the oil shale sample in the imaging process.

[0109] The laser confocal microscope unit is used for laser scanning confocal processing of the oil shale sample, and high-definition micro images and fluorescence characteristics based on the oil shale sample are obtained.

[0110] In the embodiment, the laser confocal microscope unit comprises:

[0111] The laser scanning confocal microscope is used for laser scanning confocal processing of the oil shale sample.

[0112] After the oil shale sample is accurately positioned and placed under the microscope, laser is used as the scanning light source to perform fast scanning imaging point by point, line by line and surface by surface. The scanning laser and the fluorescence collection share one objective lens. The focal point of the objective lens is the focusing point of the scanning laser and is also the object point of the instantaneous imaging. After focusing, the scanning is limited in one plane of the oil shale sample.

[0113] It should be noted that the laser scanning confocal microscope with high resolution and adjustable depth is provided to capture the high-definition microscopic image and the fluorescence characteristics of the oil shale sample.

[0114] The image acquisition unit is used for acquiring the high-definition microscopic image of the oil shale sample.

[0115] The laser scanning confocal microscope is used for laser scanning confocal processing of the oil shale sample. When the focusing depth is different, the high-definition microscopic images of different depth levels of the oil shale sample are obtained, and the high-definition microscopic image based on the oil shale sample is determined.

[0116] The characteristic acquisition unit is used for acquiring the fluorescence characteristics of the oil shale sample.

[0117] The laser scanning confocal microscope is used for laser scanning confocal processing of the oil shale sample. When the focusing depth is different, the fluorescence characteristics of different depth levels of the oil shale sample are obtained, and the fluorescence characteristics based on the oil shale sample are determined.

[0118] The illumination temperature control unit is used for adjustable control of the illumination condition and the temperature condition to adapt to the fluorescence excitation condition of different oil shale samples.

[0119] In the embodiment, the illumination temperature control unit comprises:

[0120] The illumination control unit is used for adjustable control of the illumination condition.

[0121] According to the fluorescence excitation condition requirement of different oil shale samples, the illumination condition is adjustable controlled to adapt to the fluorescence excitation condition of different oil shale samples.

[0122] The temperature control unit is used for adjustable control of the temperature condition.

[0123] According to the fluorescence excitation condition requirement of different oil shale samples, the temperature condition is adjustable controlled to adapt to the fluorescence excitation condition of different oil shale samples.

[0124] It needs to be explained that adjustable lighting and temperature control are provided to adapt to the fluorescence excitation conditions of different oil shale samples, ensuring the accuracy of fluorescence data.

[0125] The image processing and analysis unit is configured to process the high-definition microscopic image of the oil shale sample, automatically analyze the high-definition microscopic image of the oil shale sample based on the fluorescence characteristics of the oil shale sample, and calculate and evaluate the organic matter content and maturity of the oil shale sample to determine the organic matter content and maturity of the oil shale sample.

[0126] Specifically, the lighting conditions are adjustable controlled, including:

[0127] The temperature value of the current oil shale sample is extracted.

[0128] The illumination intensity under the current lighting condition is extracted.

[0129] An illumination intensity compensation coefficient is obtained according to the temperature value of the current oil shale sample and the illumination intensity under the current lighting condition; wherein the illumination intensity compensation coefficient is obtained by the following formula:

[0130]

[0131] Wherein, σ represents the illumination intensity compensation coefficient; B represents the actual illumination intensity under the current lighting condition; T represents the actual temperature value of the current oil shale sample; T0 represents the target temperature value of the current oil shale sample; B0 represents the target illumination intensity value of the current oil shale sample; λ represents the adjustment coefficient; and the adjustment coefficient is obtained by the following formula:

[0132]

[0133] Wherein, k represents the ratio between the minimum heat transfer amount and the maximum heat transfer amount of the current oil shale sample; t represents the illumination time corresponding to the actual illumination intensity of the current lighting; T c represents the initial surface temperature of the current oil shale sample;

[0134] The illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target are used to obtain the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment.

[0135] The maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment are used as constraint adjustment to adjust the illumination intensity, so that the illumination intensity reaches the preset target illumination intensity.

[0136] The technical effects of the above technical solution are: by extracting the temperature value of the current oil shale sample and the illumination intensity under the current lighting condition, the current working state can be understood in real time. Based on this information, the system can calculate the illumination intensity compensation coefficient, so as to accurately adjust the illumination intensity.

[0137] The calculation of the illumination intensity compensation coefficient takes into account the actual temperature and target temperature of the oil shale sample, as well as the actual value and target value of the illumination intensity. This adjustment method based on real-time data can avoid unnecessary energy waste and improve energy use efficiency.

[0138] The introduction of the adjustment coefficient λ enables the system to dynamically adjust the illumination intensity according to the thermal conductivity performance of the oil shale sample (the ratio between the minimum thermal conductivity and the maximum thermal conductivity) and the lighting duration. This flexibility enables the system to adapt to different working scenarios and conditions.

[0139] By calculating the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment, the system can adjust the illumination intensity while ensuring the stability of the illumination. This helps to avoid the impact of sudden changes in illumination intensity on the oil shale sample processing process.

[0140] Finally, the system adjusts the illumination intensity to the preset target illumination intensity through constraint adjustment. This helps to ensure that the oil shale sample processing process is carried out under optimal lighting conditions, thereby improving processing efficiency and effectiveness.

[0141] In summary, this technical solution realizes the optimal adjustment of the illumination intensity in the oil shale sample processing process through adjustable control of the lighting conditions, improves energy efficiency, operational flexibility and illumination stability, and ensures that the processing process is carried out under optimal lighting conditions.

[0142] Specifically, the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment are obtained using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target, including:

[0143] Retrieving the illumination intensity compensation coefficient;

[0144] Retrieving the target illumination intensity corresponding to the illumination adjustment target;

[0145] The maximum adjustment gradient of the illumination adjustment is obtained using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target, wherein the maximum adjustment gradient is obtained by the following formula:

[0146]

[0147] where B max represents the maximum adjustment gradient; σ represents the illumination intensity compensation coefficient; B mrepresents the target illumination intensity corresponding to the illumination adjustment target; B represents the actual illumination intensity under the current illumination condition;

[0148] The minimum adjustment gradient of the illumination adjustment is obtained by using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target, and the minimum adjustment gradient is obtained by the following formula:

[0149]

[0150] wherein B min represents the minimum adjustment gradient.

[0151] The technical effects of the above technical solution are: by introducing the illumination intensity compensation coefficient (σ), the system can consider the influence of the current oil shale sample temperature value and the illumination condition on the illumination intensity, so as to more accurately calculate the maximum adjustment gradient (Bmax) and the minimum adjustment gradient (Bmin) of the illumination adjustment. This helps to improve the accuracy of the illumination adjustment and ensure that the illumination intensity can more accurately reach the preset target illumination intensity. The determination of the maximum adjustment gradient (Bmax) and the minimum adjustment gradient (Bmin) provides a clear upper and lower limit for the adjustment of the illumination intensity. This helps to avoid sudden changes in the illumination intensity and ensures the stability of the illumination, thereby protecting the oil shale sample from unnecessary damage.

[0152] By finely adjusting the illumination intensity, the system can avoid unnecessary energy waste. When the illumination intensity approaches the target illumination intensity, the system can gradually reduce the adjustment gradient to reach the target value in a more stable manner, thereby saving energy. During the processing of the oil shale sample, appropriate illumination intensity is crucial to ensure the processing effect. By finely adjusting the illumination intensity, the system can ensure that the oil shale sample is processed under optimal illumination conditions, thereby improving the processing efficiency. This technical solution takes into account the actual illumination intensity (B) under the current illumination condition and the target illumination intensity (Bm) corresponding to the illumination adjustment target, so that the system can adapt to different working scenarios and conditions. By adjusting the illumination intensity compensation coefficient (σ), the system can adapt to the characteristics and processing requirements of different oil shale samples.

[0153] In summary, this technical solution introduces the illumination intensity compensation coefficient and calculates the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment, achieving fine adjustment of the illumination intensity. This helps to improve the adjustment accuracy, ensure the stability of the illumination, optimize energy use, improve the processing efficiency, and enhance the adaptability of the system.

[0154] In this embodiment, the image processing analysis unit includes:

[0155] The image processing unit is configured to process the high-definition microscopic image based on the oil shale sample.

[0156] acquire high-definition microscopic images based on oil shale samples;

[0157] perform encoding compression, enhancement and restoration, segmentation, description and identification processing on the high-definition microscopic images based on oil shale samples to determine organic matter structures based on the high-definition microscopic images;

[0158] an automatic analysis unit for automatically analyzing the high-definition microscopic images based on oil shale samples in combination with fluorescence characteristics based on oil shale samples;

[0159] acquire fluorescence characteristics based on oil shale samples;

[0160] acquire organic matter structures based on high-definition microscopic images;

[0161] automatically analyze the high-definition microscopic images based on oil shale samples in combination with fluorescence characteristics and fluorescence intensity based on oil shale samples to determine automatic analysis results based on oil shale samples;

[0162] a calculation and evaluation unit for calculating and evaluating organic matter content and maturity of the organic matter structures based on high-definition microscopic images;

[0163] acquire automatic analysis results based on oil shale samples;

[0164] calculate and evaluate organic matter content and maturity of the organic matter structures based on high-definition microscopic images according to the automatic analysis results based on oil shale samples to determine organic matter content and maturity based on oil shale samples.

[0165] It should be noted that the high-definition microscopic images and fluorescence characteristics are automatically transmitted to image processing and analysis software. The software automatically analyzes the images through a pre-set algorithm, calculates the organic matter content and evaluates the maturity, automatically identifies and analyzes the organic matter structures in the microscopic images through the development of a special image processing algorithm, evaluates the organic matter content and maturity in combination with fluorescence intensity and characteristics, automatically analyzes the content and maturity of the organic matter by using the fluorescence characteristics of the organic matter in oil shale, improves the evaluation efficiency and accuracy, and realizes precise quantitative evaluation of the organic matter content and maturity through advanced image processing algorithms and fluorescence data analysis.

[0166] In this embodiment, the high-definition microscopic images based on oil shale samples are subjected to encoding compression, enhancement and restoration, segmentation, description and identification processing, and the following operations are performed:

[0167] acquire high-definition microscopic images based on oil shale samples;

[0168] perform encoding compression on the high-definition microscopic images based on oil shale samples based on image encoding compression technology;

[0169] determine high-definition microscopic images after encoding compression without distortion;

[0170] acquire the high-definition microscopic image after lossless encoding compression;

[0171] enhance and restore the high-definition microscopic image after lossless encoding compression;

[0172] remove noise of the high-definition microscopic image and improve the definition of the high-definition microscopic image;

[0173] determine the high-definition microscopic image after enhancement and restoration;

[0174] acquire the high-definition microscopic image after enhancement and restoration;

[0175] segment the high-definition microscopic image after enhancement and restoration;

[0176] extract meaningful features in the high-definition microscopic image;

[0177] The meaningful features include edges and regions in the image.

[0178] determine the high-definition microscopic image after segmentation;

[0179] acquire the high-definition microscopic image after segmentation;

[0180] describe the high-definition microscopic image after segmentation;

[0181] determine the high-definition microscopic image after description;

[0182] acquire the high-definition microscopic image after description;

[0183] identify the high-definition microscopic image after description;

[0184] determine the structure of organic matter based on the high-definition microscopic image.

[0185] The visualization data output unit is configured to output and visually display the organic matter content and maturity results based on the oil shale sample.

[0186] In this embodiment, the visualization data output unit includes:

[0187] a result output unit configured to output the organic matter content and maturity results based on the oil shale sample.

[0188] acquire the organic matter content and maturity based on the oil shale sample and output the organic matter content and maturity results based on the oil shale sample.

[0189] a visualization display unit configured to visually display the outputted organic matter content and maturity results based on the oil shale samples;

[0190] The organic matter content and maturity results based on the oil shale samples are obtained and visually displayed.

[0191] The evaluation report generation unit is configured to automatically generate an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale samples, and store and export the organic matter content and maturity evaluation report based on the oil shale samples.

[0192] In this embodiment, the evaluation report generation unit comprises:

[0193] The report generation unit is configured to automatically generate an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale samples.

[0194] The organic matter content and maturity of the oil shale samples are obtained.

[0195] The organic matter content and maturity of the oil shale samples are automatically summarized, and an organic matter content and maturity evaluation report based on the oil shale samples is generated.

[0196] The data export unit is configured to export the generated organic matter content and maturity evaluation report based on the oil shale samples.

[0197] The organic matter content and maturity evaluation report based on the oil shale samples is obtained.

[0198] The organic matter content and maturity evaluation report based on the oil shale samples is stored and exported.

[0199] It should be noted that the analysis results are intuitively displayed, and the organic matter content and maturity evaluation report is automatically generated, and the data export function is supported.

[0200] It should be noted that in this document, the relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0201] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A system for rapid evaluation of organic matter content and maturity of oil shale by laser confocal microscopy, characterized in that, The method comprises the following steps: A sample preparation and placement unit is used to prepare oil shale samples for laser confocal microscopic imaging and accurately place the prepared oil shale samples under a microscope; A laser confocal microscope unit is used to perform laser scanning confocal processing on the oil shale samples to obtain high-definition microscopic images and fluorescence characteristics of the oil shale samples; An illumination temperature control unit is used to adjust the illumination conditions and temperature conditions to adapt to the fluorescence excitation conditions of different oil shale samples; An image processing and analysis unit is used to process the high-definition microscopic images of the oil shale samples, automatically analyze the high-definition microscopic images of the oil shale samples based on the fluorescence characteristics of the oil shale samples, and calculate and evaluate the organic matter content and maturity of the oil shale samples to determine the organic matter content and maturity of the oil shale samples; A visual data output unit is used to output the results of the organic matter content and maturity of the oil shale samples and visually display the results of the organic matter content and maturity of the oil shale samples; An evaluation report generation unit is used to automatically generate an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale samples, store and export the organic matter content and maturity evaluation report of the oil shale samples; The illumination conditions are adjusted as follows: Extract the temperature value of the current oil shale sample; Extract the illumination intensity under the current illumination conditions; Obtain the illumination intensity compensation coefficient based on the temperature value of the current oil shale sample and the illumination intensity under the current illumination conditions; wherein the illumination intensity compensation coefficient is obtained by the following formula: Wherein, σ represents the illumination intensity compensation coefficient; B represents the actual illumination intensity under the current illumination conditions; T represents the actual temperature value of the current oil shale sample; T0 represents the target temperature value of the current oil shale sample; B0 represents the target illumination intensity value of the current oil shale sample; λ represents the adjustment coefficient; and the adjustment coefficient is obtained by the following formula: Wherein, k represents the ratio between the minimum dosage and the maximum heat conduction of the current oil shale sample; t represents the lighting duration corresponding to the actual lighting intensity of the current lighting; T c represents the initial surface temperature of the current oil shale sample; Obtain the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment using the illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target; Adjust the illumination intensity by using the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment as the constraint adjustment to reach the preset target illumination intensity.

2. The oil shale organic matter content and maturity laser confocal rapid evaluation system according to claim 1, characterized in that, The sample preparation and placement unit comprises: A sample preparation unit is used to prepare oil shale samples for laser confocal microscopic imaging; Based on the requirement of laser confocal rapid evaluation of oil shale organic matter content and maturity; Using sample preparation tools to prepare oil shale samples to obtain oil shale sample morphology suitable for laser confocal microscopic imaging; A positioning and placement unit is used to accurately place the prepared oil shale samples under a microscope; Obtain the prepared oil shale sample suitable for laser confocal microscopic imaging; Based on the accurate positioning tool, the oil shale sample is accurately positioned and placed under the microscope.

3. The oil shale organic matter content and maturity laser confocal rapid evaluation system according to claim 2, characterized in that, The laser confocal microscope unit comprises: The laser scanning confocal microscope is used for laser scanning confocal treatment of the oil shale sample; After the oil shale sample is accurately positioned and placed under the microscope, laser is used as the scanning light source to perform fast scanning imaging point by point, line by line and surface by surface. The scanning laser and the fluorescence collection share one objective lens. The focal point of the objective lens is the focus point of the scanning laser and is also the object point of the instantaneous imaging. After focusing, the scanning is limited in one plane of the oil shale sample; The image acquisition unit is configured to acquire the high-definition microscopic image of the oil shale sample; The laser scanning confocal microscope is used for laser scanning confocal treatment of the oil shale sample. When the depth of focus is different, the high-definition microscopic image of the oil shale sample at different depth levels is obtained, and the high-definition microscopic image based on the oil shale sample is determined. The characteristic acquisition unit is configured to acquire the fluorescence characteristic of the oil shale sample; The laser scanning confocal microscope is used for laser scanning confocal treatment of the oil shale sample. When the depth of focus is different, the fluorescence characteristic of the oil shale sample at different depth levels is obtained, and the fluorescence characteristic based on the oil shale sample is determined.

4. The oil shale organic matter content and maturity laser confocal rapid evaluation system according to claim 3, characterized in that, The illumination temperature control unit includes: The illumination control unit is configured to adjustably control the illumination condition; The illumination condition is adjustably controlled according to the fluorescence excitation condition requirement of different oil shale samples to adapt to the fluorescence excitation condition of different oil shale samples. The temperature control unit is configured to adjustably control the temperature condition. The temperature condition is adjustably controlled according to the fluorescence excitation condition requirement of different oil shale samples to adapt to the fluorescence excitation condition of different oil shale samples.

5. The oil shale organic matter content and maturity laser confocal rapid assessment system of claim 1, wherein, The illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target are used to obtain the maximum adjustment gradient and the minimum adjustment gradient of the illumination adjustment, including: The illumination intensity compensation coefficient is retrieved; The target illumination intensity corresponding to the illumination adjustment target is retrieved; The illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target are used to obtain the maximum adjustment gradient of the illumination adjustment. The maximum adjustment gradient is obtained by the following formula: B max represents the maximum adjustment gradient; σ represents the illumination intensity compensation coefficient; B m represents the target illumination intensity corresponding to the illumination adjustment target; B represents the actual illumination intensity under the current illumination condition; The illumination intensity compensation coefficient and the target illumination intensity corresponding to the illumination adjustment target are used to obtain the minimum adjustment gradient of the illumination adjustment. The minimum adjustment gradient is obtained by the following formula: where B min represents the minimum adjustment gradient.

6. The oil shale organic matter content and maturity laser confocal rapid assessment system of claim 4, wherein, The image processing analysis unit includes: The image processing unit is configured to process the high-definition microscopic image based on the oil shale sample; The high-definition microscopic image based on the oil shale sample is acquired; The high-definition microscopic image based on the oil shale sample is processed by encoding compression, enhancement and restoration, segmentation, description and identification to determine the organic matter structure based on the high-definition microscopic image; The automatic analysis unit is configured to automatically analyze the high-definition microscopic image based on the oil shale sample in combination with the fluorescence characteristic based on the oil shale sample; The fluorescence characteristic based on the oil shale sample is acquired; The organic matter structure based on the high-definition microscopic image is acquired; The high-definition microscopic image based on the oil shale sample is automatically analyzed in combination with the fluorescence characteristic and the fluorescence intensity based on the oil shale sample to determine the automatic analysis result based on the oil shale sample; The calculation evaluation unit is configured to calculate and evaluate the organic matter content and maturity of the organic matter structure based on the high-definition microscopic image. Acquiring automatic analysis results based on the oil shale sample; According to the automatic analysis results based on the oil shale sample, the organic matter content and maturity of the organic matter structure based on the high-definition microscopic image are calculated and evaluated to determine the organic matter content and maturity based on the oil shale sample.

7. The oil shale organic matter content and maturity laser confocal rapid assessment system of claim 6, wherein, The high-definition microscopic image based on the oil shale sample is processed by encoding and compressing, enhancing and restoring, segmenting, describing, and identifying to perform the following operations: Acquiring a high-definition microscopic image based on an oil shale sample; Encoding and compressing the high-definition microscopic image based on the oil shale sample based on image encoding and compression technology; Determine the lossless encoded and compressed high-definition microscopic image; Acquire the lossless encoded and compressed high-definition microscopic image; Enhance and restore the lossless encoded and compressed high-definition microscopic image; Remove high-definition microscopic image noise and improve high-definition microscopic image clarity; Determine the high-definition microscopic image after enhancement and restoration processing; Acquire the high-definition microscopic image after enhancement and restoration processing; Segment the high-definition microscopic image after enhancement and restoration processing; Extract meaningful features from the high-definition microscopic image; The meaningful features include edges and regions in the image; Determine the high-definition microscopic image after segmentation processing; Acquire the high-definition microscopic image after segmentation processing; Describe the high-definition microscopic image after segmentation processing; Determine the high-definition microscopic image after description processing; Acquire the high-definition microscopic image after description processing; Identify the high-definition microscopic image after description processing; Determine the organic matter structure based on the high-definition microscopic image.

8. The oil shale organic matter content and maturity laser confocal rapid assessment system of claim 7, wherein, The visualization data output unit includes; The result output unit outputs the organic matter content and maturity results based on the oil shale sample; Acquire the organic matter content and maturity based on the oil shale sample, and output the organic matter content and maturity results based on the oil shale sample; The visualization display unit visually displays the output organic matter content and maturity results based on the oil shale sample; Acquire the output organic matter content and maturity results based on the oil shale sample, and visually display the organic matter content and maturity results based on the oil shale sample.

9. The oil shale organic matter content and maturity laser confocal rapid assessment system of claim 8, wherein, The evaluation report generation unit includes; The report generation unit automatically generates an organic matter content and maturity evaluation report based on the organic matter content and maturity of the oil shale sample; Acquire the organic matter content and maturity based on the oil shale sample; Automatically summarize the organic matter content and maturity based on the oil shale sample, and generate an organic matter content and maturity evaluation report based on the oil shale sample; The data export unit exports the generated organic matter content and maturity evaluation report based on the oil shale sample; Acquire the organic matter content and maturity evaluation report based on the oil shale sample; And store and export the organic matter content and maturity evaluation report based on the oil shale sample.

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