A method and system for obtaining continuous adsorption amount of adsorbent

Abstract

The present invention relates to the technical field of obtaining adsorption amount, and in particular to a method and system for obtaining the continuous adsorption amount of an adsorbent, the method comprising: evenly spreading the adsorbent into a detection container, selecting a target detection point in the detection container, performing continuous pouring in a first process at an initial pouring rate, and collecting a first adsorption image in real time during the continuous pouring of the first process; analyzing each first adsorption image, determining a number of real-time diffusion rates, and generating a first actual diffusion curve according to the real-time diffusion rates; determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve, performing continuous pouring in a second process on the target detection point at the first actual pouring rate, and generating a second actual diffusion curve; stopping pouring when a second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition; weighing the detection container to determine the actual continuous adsorption amount of the adsorbent.

Description

Technical Field

[0001] The present invention relates to the technical field of obtaining adsorption amount, and in particular to a method and system for obtaining the continuous adsorption amount of an adsorbent. Background Art

[0002] In the prior art, in the process of obtaining the adsorption amount of the adsorbent, it is impossible to accurately identify the time node when the adsorption is saturated, resulting in inaccurate adsorption amount. In addition, for the continuous adsorption process, since the continuous adsorption changes dynamically, the continuous adsorption amount of the adsorbent cannot be accurately measured.

[0003] Chinese patent application publication number CN108427860A discloses a method and device for obtaining the continuous adsorption amount of an adsorbent, comprising: after obtaining the adsorption amount of the adsorbent under different adsorption conditions, different adsorption conditions and the adsorption amounts under different conditions constitute a training sample set, and the least squares support vector machine LS-SVM method is used for the training sample set to construct an adsorption amount prediction model, and the adsorption amount under any adsorption condition is predicted according to the prediction model, thereby obtaining a continuous adsorption amount.

[0004] This shows that the current technology for obtaining the adsorption amount cannot accurately obtain the continuous adsorption amount of the adsorbent. Summary of the invention

[0005] To this end, an object of the present invention is to provide a method and system for obtaining the continuous adsorption amount of an adsorbent, so as to overcome the problem that the current technology for obtaining the adsorption amount cannot accurately obtain the continuous adsorption amount of the adsorbent.

[0006] To achieve the above object, the present invention provides a method for obtaining the continuous adsorption amount of an adsorbent, comprising:

[0007] Evenly spread a preset weight of adsorbent into a detection container, and evenly divide the detection container according to a preset area to form a number of initial detection points;

[0008] Select any initial detection point as a target detection point, perform a first process continuous pouring at an initial pouring rate on the target detection point, and collect a first adsorption image in real time at a preset initial time interval during the first process continuous pouring;

[0009] Analyzing each first adsorption image, determining a number of real-time diffusion rates according to the analysis results, and determining whether to generate a first actual diffusion curve according to the real-time diffusion rates;

[0010] Determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve, and obtaining a first actual pouring rate when adjustment is required;

[0011] Performing continuous pouring of a second process on the target detection point at the first actual pouring rate, collecting a plurality of second adsorption images in the continuous pouring of the second process in real time, and generating a second actual diffusion curve according to each second adsorption image;

[0012] Analyzing the second actual diffusion curve, and stopping pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition;

[0013] When the pouring is stopped, the detection container is weighed, and the actual continuous adsorption amount of the adsorbent is determined according to the weighing result.

[0014] Furthermore, the process of analyzing each first adsorption image and determining a plurality of real-time diffusion rates according to the analysis results includes:

[0015] For any first adsorption image, identifying a shadow portion in the first adsorption image to obtain an actual adsorption area;

[0016] The area difference between the actual adsorption areas in the first adsorption images acquired at adjacent initial time intervals is calculated, and the real-time diffusion rate is calculated based on the area difference combined with the initial time interval.

[0017] Furthermore, the process of identifying the shadow portion in the first adsorption image to obtain the actual adsorption area includes:

[0018] Identifying a number of actual grayscale values ​​in the first adsorption image, and marking an area where the actual grayscale value is less than a preset standard grayscale value to obtain a marked area;

[0019] Analyze the marked area to obtain contour features of the marked area, and determine whether to start a contour correction mode according to the contour features;

[0020] Based on the contour correction mode, differentially adjust the brightness inside and outside the contour of the marked area to obtain the target area;

[0021] The target area is identified to obtain the actual adsorption area.

[0022] Further, the process of determining whether to generate a first actual diffusion curve according to the real-time diffusion rate includes:

[0023] Calculate a first difference absolute value according to any of the real-time diffusion rates combined with a preset standard diffusion rate;

[0024] Determining whether to generate the first actual diffusion curve based on the first difference absolute value combined with a preset first evaluation value;

[0025] Wherein, based on the absolute value of the first difference being greater than or equal to the first evaluation value, it is determined that the first actual diffusion curve is generated; and the real-time diffusion rate is determined to be the first curve end point of the first actual diffusion curve.

[0026] Further, the process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve includes:

[0027] identifying the first actual diffusion curve to obtain a first actual slope corresponding to an end point of the first curve;

[0028] determining whether the first actual slope meets a single adjustment condition according to the first actual slope combined with a preset standard slope evaluation interval;

[0029] Among them, when the first actual slope is less than or equal to the second standard slope and greater than the first standard slope, it is determined that the first actual slope meets the single adjustment condition; the first standard slope is the upper limit value of the standard slope evaluation interval; the second standard slope is the lower limit value of the standard slope evaluation interval.

[0030] Further, the process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve also includes:

[0031] Based on the first actual slope meeting the single adjustment condition, obtaining a first slope maintenance time corresponding to the end point of the first curve;

[0032] Determining whether the first slope maintenance time meets the single adjustment condition according to the first slope maintenance time combined with a preset standard time;

[0033] Wherein, based on the fact that the first slope maintenance time is greater than or equal to the standard time, it is determined that the first slope maintenance time meets the single adjustment condition.

[0034] Further, the process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve also includes:

[0035] Determining the number of items in the first actual slope and the first slope maintenance time that meet the single adjustment condition;

[0036] When the number of items is equal to 2, it is determined that the initial pouring rate is adjusted to obtain the first actual pouring rate.

[0037] Furthermore, when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition, the process of stopping pouring includes:

[0038] identifying the second actual diffusion curve to obtain a second actual slope corresponding to an end point of the second curve;

[0039] Obtaining a second slope maintenance time corresponding to an end point of the second curve;

[0040] When the second actual slope is less than or equal to the first standard slope and the second slope is maintained for a time greater than or equal to the standard time, it is determined that the second actual adsorption parameter reaches the standard adsorption saturation condition;

[0041] The second actual adsorption parameter includes: the second actual slope and the second slope maintenance time.

[0042] Furthermore, the process of weighing the detection container and determining the actual continuous adsorption amount of the adsorbent according to the weighing result includes:

[0043] When pouring is stopped, weighing the detection container to obtain the actual weight;

[0044] Determine the actual continuous adsorption amount according to the actual weight combined with the initial weight;

[0045] The initial weight is the total weight of the detection container and the adsorbent before pouring.

[0046] Another aspect of the present invention provides a system for obtaining the continuous adsorption amount of an adsorbent, comprising:

[0047] A division module, used for evenly dividing the detection container according to the preset area to form a plurality of initial detection points;

[0048] A collection module, used for collecting the first adsorption image in real time at the initial time interval during continuous pouring of the first process at the initial pouring rate for the target detection point;

[0049] A first analysis module, which is used to analyze each first adsorption image, determine a number of real-time diffusion rates according to the analysis results, and determine whether to generate the first actual diffusion curve according to the real-time diffusion rates;

[0050] an adjustment module, which determines whether to adjust the initial pouring rate based on an analysis result of the first actual diffusion curve;

[0051] A second analysis module, which is used to perform a second process of continuous pouring on the target detection point according to the first actual pouring rate, collect a plurality of second adsorption images in the second process of continuous pouring in real time, and generate a second actual diffusion curve according to each second adsorption image;

[0052] a determination module, which analyzes the second actual diffusion curve and stops pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition;

[0053] An output module is configured to weigh the detection container when the pouring is stopped, and determine the actual continuous adsorption amount of the adsorbent according to the weighing result.

[0054] Compared with the prior art, the beneficial effect of the present invention lies in that the present invention can more accurately capture the diffusion rate and adsorption state of the adsorbent at different time points by real-time acquisition and analysis of images during the adsorption process, thereby generating an accurate actual diffusion curve. Compared with the traditional method, the image-based real-time monitoring method can reduce human errors and improve the accuracy and reliability of the test; the initial pouring rate is dynamically adjusted according to the analysis result of the first actual diffusion curve to obtain the first actual pouring rate, and pouring is performed at this rate in the subsequent process; the dynamic adjustment mechanism can ensure that the adsorption process is carried out under optimal conditions, improve the adsorption efficiency, and avoid the adsorption surplus or failure to reach adsorption saturation; when the second actual adsorption parameter reaches the preset standard adsorption saturation condition, the pouring is stopped, ensuring that the adsorbent can fully reach its adsorption capacity, avoiding excessive or insufficient pouring, thereby ensuring the accuracy and effectiveness of the test results; the entire test process is significantly reduced by automated control and real-time analysis, and the test efficiency is improved; by performing continuous pouring and real-time image acquisition in stages, the test of multiple detection points can be completed in a short time, further improving the overall test efficiency; and the accuracy of measuring the continuous adsorption amount is guaranteed.

[0055] In particular, by identifying and calculating the actual adsorption area in the first adsorption image, and calculating the real-time diffusion rate based on the area difference and the initial time interval, the accuracy of the diffusion rate measurement is significantly improved; the entire process from image recognition to diffusion rate calculation is automated, reducing human intervention, thereby reducing data deviations caused by human errors. Automated processing not only improves efficiency, but also ensures data consistency and repeatability; in order to address problems such as insufficient edge clarity, incomplete contours, abnormal contour shapes, or insufficient contour symmetry that may appear in the image, a contour correction mode is introduced; by adjusting the brightness difference inside and outside the contour of the marked area, the contour features of the image are improved, so that the actual adsorption area identified is more accurate, and the reliability of the diffusion rate calculation is further improved; it can process images of different qualities, including those with noise, blur or deformation; through the contour correction mode, even if the image quality is poor, relatively accurate diffusion rate measurement results can be obtained, reflecting the strong adaptability and robustness of the method; calculations are performed based on the adsorption image acquired in real time, so that real-time monitoring of the diffusion process can be achieved, and the measurement accuracy is improved.

[0056] In particular, by monitoring the diffusion rate in real time and comparing it with the preset standard diffusion rate, the adsorption capacity of the adsorbent can be evaluated instantly; it enables rapid response and timely adjustment of the pouring rate to prevent the adsorption surplus from occurring when the adsorbent continues to be poured at the initial pouring rate; and it is possible to quickly identify changes in the performance of the adsorbent; when the absolute value of the difference between the real-time diffusion rate and the standard diffusion rate reaches or exceeds the preset first evaluation value, it is determined that a first actual diffusion curve is generated, and the real-time diffusion rate at this time is used as the end point of the curve; this process actually provides an early warning for a possible decrease in adsorption capacity; this early warning mechanism helps to take measures in advance, such as adjusting operating conditions (adjusting the pouring rate), to prevent negative consequences caused by excessive or insufficient pouring.

[0057] In particular, by accurately identifying and analyzing the endpoint slope (first actual slope) of the first actual diffusion curve and its maintenance time, the actual state of the pouring process can be judged more accurately, thereby achieving fine adjustment of the pouring rate. The data-driven method is more accurate and reliable than the traditional empirical adjustment; the pouring rate can be dynamically adjusted according to the real-time changes in the diffusion curve rather than a fixed preset value; by timely adjusting the pouring rate, excessive pouring due to too fast pouring can be avoided, preventing the adsorbent from being unable to be fully adsorbed; or inaccurate measurement of the continuous adsorption amount of the adsorbent due to insufficient pouring can be avoided.

[0058] In particular, by simultaneously considering the endpoint slope of the second actual diffusion curve (the second actual slope) and its maintenance time (the second slope maintenance time) as the basis for determining the standard adsorption saturation condition, the saturation state of the adsorption process can be evaluated more accurately, which can better reflect the comprehensive effect of the adsorption process than a single indicator (such as only considering the slope or time); by setting a reasonable first standard slope and standard time as thresholds, it can be ensured that the pouring is stopped when the adsorption process has indeed reached the saturation state; avoiding insufficient adsorption due to premature stopping, or inaccurate measurement due to late stopping.

[0059] In particular, by evenly dividing the detection container and combining it with the acquisition module to collect adsorption images in real time, comprehensive and high-precision monitoring of the adsorption process is ensured. The refined monitoring method helps to capture subtle changes in the adsorption process and improve the accuracy and reliability of the data; the first analysis module and the second analysis module use advanced image processing and analysis technology to perform real-time analysis on the collected adsorption images, quickly and accurately determine the real-time diffusion rate and generate the actual diffusion curve. The intelligent analysis method not only improves work efficiency, but also reduces human errors and ensures the accuracy of the analysis results; according to the analysis results of the first actual diffusion curve, the initial pouring rate is dynamically adjusted to adapt to changes in the adsorption process, accurately judge whether the adsorption process reaches the preset standard adsorption saturation condition, and control the timing of stopping pouring accordingly, thereby ensuring the accuracy of measuring the continuous adsorption amount of the adsorbent. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A flow chart of a method for obtaining continuous adsorption amount of an adsorbent according to an embodiment of the present invention;

[0061] Figure 2 A flow chart of determining the real-time diffusion rate in the method for obtaining the continuous adsorption amount of an adsorbent according to an embodiment of the present invention;

[0062] Figure 3 A flow chart for determining whether to generate a first actual diffusion curve in a method for obtaining a continuous adsorption amount of an adsorbent according to an embodiment of the present invention;

[0063] Figure 4 This is a schematic diagram of the structure of a system for obtaining the continuous adsorption amount of an adsorbent according to an embodiment of the present invention;

[0064] The figure includes: 1-division module, 2-collection module, 3-first analysis module, 4-adjustment module, 5-second analysis module, 6-determination module and 7-output module. DETAILED DESCRIPTION

[0065] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0066] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0067] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0068] See also Figure 1 As shown, it is a flow chart of a method for obtaining the continuous adsorption amount of an adsorbent. An embodiment of the present invention provides a method for obtaining the continuous adsorption amount of an adsorbent, and the method includes:

[0069] Step S100, evenly spreading a preset weight of adsorbent into a detection container, and evenly dividing the detection container according to a preset area to form a plurality of initial detection points;

[0070] Step S200, selecting any initial detection point as a target detection point, performing a first process continuous pouring at an initial pouring rate on the target detection point, and collecting a first adsorption image in real time at a preset initial time interval during the first process continuous pouring;

[0071] Step S300, analyzing each first adsorption image, determining a number of real-time diffusion rates according to the analysis results, and determining whether to generate a first actual diffusion curve according to the real-time diffusion rates;

[0072] Step S400, determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve, and obtaining a first actual pouring rate when adjustment is required;

[0073] Step S500, performing continuous pouring of the second process on the target detection point at the first actual pouring rate, collecting a plurality of second adsorption images in the second process continuous pouring in real time, and generating a second actual diffusion curve according to each second adsorption image;

[0074] Step S600, analyzing the second actual diffusion curve, and stopping pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition;

[0075] Step S700: weighing the detection container when the pouring is stopped, and determining the actual continuous adsorption amount of the adsorbent according to the weighing result.

[0076] The preset weight in the embodiment of the present invention is the weight when the adsorbent is spread flat in the test container and occupies 1 / 3 of the test container;

[0077] The initial time interval is 2s;

[0078] The initial time interval is 1 / 10 of the total adsorption time of the adsorbent based on the historical test process.

[0079] Specifically, the embodiment of the present invention can more accurately capture the diffusion rate and adsorption state of the adsorbent at different time points by real-time acquisition and analysis of images during the adsorption process, thereby generating an accurate actual diffusion curve. Compared with traditional methods, the image-based real-time monitoring method can reduce human errors and improve the accuracy and reliability of the test; the initial pouring rate is dynamically adjusted according to the analysis results of the first actual diffusion curve to obtain the first actual pouring rate, and pouring is performed at this rate in the subsequent process; the dynamic adjustment mechanism can ensure that the adsorption process is carried out under optimal conditions, improve the adsorption efficiency, and avoid the adsorption surplus or failure to reach adsorption saturation; when the second actual adsorption parameter reaches the preset standard adsorption saturation condition, the pouring is stopped, ensuring that the adsorbent can fully reach its adsorption capacity, avoiding excessive or insufficient pouring, thereby ensuring the accuracy and effectiveness of the test results; the entire test process is significantly reduced by automated control and real-time analysis, and the test efficiency is improved; by performing continuous pouring and real-time image acquisition in stages, the test of multiple detection points can be completed in a short time, further improving the overall test efficiency; the accuracy of measuring the continuous adsorption amount is guaranteed.

[0080] Specifically, see Figure 2 As shown, it is a flow chart for determining the real-time diffusion rate, wherein the process of analyzing each first adsorption image and determining a plurality of real-time diffusion rates according to the analysis results includes:

[0081] Step S311, for any first adsorption image, identifying a shadow portion in the first adsorption image to obtain an actual adsorption area;

[0082] Step S312, calculating the area difference of the actual adsorption area in the first adsorption images acquired at adjacent initial time intervals, and calculating the real-time diffusion rate according to the area difference combined with the initial time interval;

[0083] Wherein, the real-time diffusion rate=area difference / initial time interval.

[0084] Specifically, the process of identifying the shadow portion in the first adsorption image to obtain the actual adsorption area in this embodiment includes:

[0085] Identifying a number of actual grayscale values ​​in the first adsorption image, and marking an area where the actual grayscale value is less than a preset standard grayscale value to obtain a marked area;

[0086] Analyze the marked area to obtain contour features of the marked area, and determine whether to start a contour correction mode according to the contour features;

[0087] Based on the contour correction mode, differentially adjust the brightness inside and outside the contour of the marked area to obtain the target area;

[0088] Identifying the target area to obtain the actual adsorption area;

[0089] Wherein, based on the fact that the edge clarity of the contour feature is insufficient, it is determined to start the contour correction mode.

[0090] Optionally, when the adsorbent is cat litter, the cat litter is evenly spread in the detection container, any initial detection point in the detection container is selected as the target detection point, the target detection point is continuously poured at the initial pouring rate in the first process, and at an initial time interval, a first adsorption image of the cat litter in the target detection point is collected according to the image capture device, each actual grayscale value in the first adsorption image is identified, each actual grayscale value is analyzed, and an area where the actual grayscale value is less than a preset standard grayscale value is marked to obtain a marked area, and contour feature recognition is performed on the marked area to determine whether the contour feature has insufficient edge clarity, and when the contour feature is insufficient in edge clarity, the contour correction mode is turned on, and the brightness on both sides of the contour edge of the marked area is adjusted to enhance the contrast of the image, thereby making the contour edge clearer to obtain the target area, and the target area is the shadow part;

[0091] The specific process of contour correction of the marked area includes: using an edge detection algorithm to find the contour edge in the image. The edge detection algorithm can select Sobel operator, Canny edge detection, Prewitt operator, etc., as long as it can achieve the acquisition of the contour edge. This embodiment does not specifically limit the specific edge detection algorithm; when the contour edge is detected, the image is histogram equalized to improve the contrast of the image and make the edge more obvious, and then a local contrast enhancement technology, such as adaptive histogram equalization (such as CLAHE), is used to enhance the contrast near the edge, and then a sharpening filter, such as Laplacian or Sobel filter, is applied to enhance the clarity of the edge; finally, the edge is further enhanced by adjusting the brightness and contrast of the image; and the brightness difference on both sides of the edge is made more obvious.

[0092] Specifically, the embodiment of the present invention significantly improves the accuracy of diffusion rate measurement by identifying and calculating the actual adsorption area in the first adsorption image, and calculating the real-time diffusion rate based on the area difference and the initial time interval; the entire process from image recognition to diffusion rate calculation is automated, reducing human intervention, thereby reducing data deviations caused by human errors, and automated processing not only improves efficiency, but also ensures data consistency and repeatability; in order to address problems such as insufficient edge clarity, incomplete contours, abnormal contour shapes, or insufficient contour symmetry that may occur in images, a contour correction mode is introduced; by adjusting the brightness difference inside and outside the contour of the marked area, the contour features of the image are improved, so that the actual adsorption area identified is more accurate, and the reliability of diffusion rate calculation is further improved; it can process images of different qualities, including those with noise, blur or deformation; through the contour correction mode, even if the image quality is poor, a relatively accurate diffusion rate measurement result can be obtained, which reflects the strong adaptability and robustness of the method; calculations are performed based on the adsorption image acquired in real time, so that real-time monitoring of the diffusion process can be achieved, and measurement accuracy is improved.

[0093] Specifically, see Figure 3 As shown, it is a flow chart of determining whether to generate a first actual diffusion curve, wherein the process of determining whether to generate a first actual diffusion curve according to the real-time diffusion rate includes:

[0094] Step S321, calculating a first difference absolute value according to any of the real-time diffusion rates combined with a preset standard diffusion rate;

[0095] Step S322, determining whether to generate the first actual diffusion curve based on the first difference absolute value combined with a preset first evaluation value;

[0096] The absolute value of the first difference=|real-time diffusion rate-standard diffusion rate|;

[0097] Wherein, based on the absolute value of the first difference being greater than or equal to the first evaluation value, it is determined that the first actual diffusion curve is generated; and the real-time diffusion rate is determined to be the first curve end point of the first actual diffusion curve;

[0098] In a specific implementation process, the real-time diffusion rate obtained at each initial time interval is collected, and when the absolute value of the first difference corresponding to any real-time diffusion rate is greater than or equal to the first evaluation value, the first actual diffusion curve is generated according to the data of each collection point before the real-time diffusion rate (including the data of the collection point corresponding to the real-time diffusion rate);

[0099] The first actual diffusion curve is a curve showing a change of the real-time diffusion rate over time, the abscissa of the first actual diffusion curve is time, and the ordinate of the first actual diffusion curve is a specific value of the real-time diffusion rate;

[0100] In this embodiment, the standard diffusion rate is used to measure the adsorption capacity of the adsorbent; the first evaluation value is used to measure whether the adsorption capacity of the adsorbent decreases. When the absolute value of the first difference is greater than or equal to the first evaluation value, it is determined that the adsorption capacity of the adsorbent is abnormal, and the first actual diffusion curve is generated for further analysis.

[0101] Specifically, the embodiments of the present invention can instantly evaluate the adsorption capacity of the adsorbent by monitoring the diffusion rate in real time and comparing it with a preset standard diffusion rate; enable rapid response and timely adjustment of the pouring rate to prevent adsorption surplus from occurring when the adsorbent continues to be poured at the initial pouring rate; and achieve rapid identification of changes in adsorbent performance; when the absolute value of the difference between the real-time diffusion rate and the standard diffusion rate reaches or exceeds a preset first evaluation value, determine that a first actual diffusion curve is generated, and use the real-time diffusion rate at this time as the end point of the curve; this process actually provides an early warning for a possible decrease in adsorption capacity; this early warning mechanism helps to take measures in advance, such as adjusting operating conditions (adjusting the pouring rate) to prevent negative consequences caused by excessive or insufficient pouring.

[0102] Specifically, the process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve in this embodiment includes:

[0103] Step S410, identifying the first actual diffusion curve to obtain a first actual slope corresponding to an end point of the first curve;

[0104] Step S420, determining whether the first actual slope meets a single adjustment condition according to the first actual slope combined with a preset standard slope evaluation interval;

[0105] Wherein, when the first actual slope is less than or equal to the second standard slope and greater than the first standard slope, it is determined that the first actual slope meets the single adjustment condition; the first standard slope is the upper limit value of the standard slope evaluation interval; the second standard slope is the lower limit value of the standard slope evaluation interval;

[0106] Step S430, based on the first actual slope meeting the single adjustment condition, obtaining a first slope maintenance time corresponding to the end point of the first curve;

[0107] Step S440, determining whether the first slope maintenance time meets the single adjustment condition according to the first slope maintenance time combined with a preset standard time;

[0108] Wherein, based on the first slope maintenance time being greater than or equal to the standard time, it is determined that the first slope maintenance time meets the single adjustment condition;

[0109] Step S450, determining the number of items in the first actual slope and the first slope maintenance time that meet the single adjustment condition;

[0110] Step S460, when the number of items is equal to 2, it is determined to adjust the initial pouring rate to obtain the first actual pouring rate;

[0111] Wherein, the first actual pouring rate = initial pouring rate × [1-(second standard slope-first actual slope) / second standard slope-(first slope maintenance time-standard time) / standard time];

[0112] In the specific implementation process, the first standard slope is used to measure the fluctuation rate of the real-time diffusion rate corresponding to different acquisition time intervals, and the first standard slope is set to 0-0.09; the second standard slope is set to 0.3-0.5; the standard time is set to 4s; and adaptive selection and adjustment are performed according to the actual measurement accuracy; the actual measurement accuracy required in this embodiment needs to reach more than 80%; for example, the first standard slope is set to 0.03, and the second standard slope is set to 0.4, then the standard slope evaluation interval is [0.03, 0.4], if the first actual slope obtained is 0.25, then within the standard slope evaluation interval, it is determined that the single adjustment condition is met, then the timing is started, and the corresponding first slope maintenance time is obtained, based on the first slope maintenance time being greater than or equal to 4s, it is determined that the first actual slope and the first slope maintenance time both meet the single adjustment condition, that is, the number of items is equal to 2, then it is determined that the initial pouring rate is adjusted to obtain the first actual pouring rate.

[0113] Specifically, the embodiment of the present invention can more accurately judge the actual state of the pouring process by accurately identifying and analyzing the endpoint slope (first actual slope) of the first actual diffusion curve and its maintenance time, thereby achieving fine adjustment of the pouring rate. The data-driven method is more accurate and reliable than the traditional empirical adjustment; the pouring rate can be dynamically adjusted according to the real-time changes in the diffusion curve, rather than a fixed preset value; by timely adjusting the pouring rate, excessive pouring due to too fast pouring can be avoided, preventing the adsorbent from being unable to be fully adsorbed; or avoiding inaccurate measurement of the continuous adsorption amount of the adsorbent due to insufficient pouring; and by further determining and analyzing the maintenance time of the first slope when the first actual slope meets a single adjustment condition, accidental events in the adsorption process can be avoided, making the measurement and adjustment results more accurate.

[0114] Specifically, in this embodiment, when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches the preset standard adsorption saturation condition, the process of stopping pouring includes:

[0115] Step S610, identifying the second actual diffusion curve to obtain a second actual slope corresponding to an end point of the second curve;

[0116] Step S620, obtaining a second slope maintenance time corresponding to the end point of the second curve;

[0117] Step S630, when the second actual slope is less than or equal to the first standard slope and the second slope is maintained for a time greater than or equal to the standard time, it is determined that the second actual adsorption parameter reaches the standard adsorption saturation condition;

[0118] The second actual adsorption parameter includes: the second actual slope and the second slope maintenance time.

[0119] Specifically, the embodiment of the present invention can more accurately evaluate the saturation state of the adsorption process by simultaneously considering the endpoint slope (second actual slope) and the maintenance time (second slope maintenance time) of the second actual diffusion curve as the basis for determining the standard adsorption saturation condition, and can better reflect the comprehensive effect of the adsorption process than a single indicator (such as only considering the slope or time); by setting a reasonable first standard slope and standard time as thresholds, it can ensure that the pouring is stopped when the adsorption process has indeed reached the saturation state; avoiding insufficient adsorption due to premature stopping, or inaccurate measurement due to late stopping.

[0120] Specifically, the process of weighing the detection container and determining the actual continuous adsorption amount of the adsorbent according to the weighing result in this embodiment includes:

[0121] Step S710, weighing the detection container when pouring is stopped to obtain the actual weight;

[0122] Step S720, determining the actual continuous adsorption amount according to the actual weight and the initial weight;

[0123] The actual continuous adsorption amount=actual weight-initial weight;

[0124] The initial weight is the total weight of the detection container and the adsorbent before pouring.

[0125] See also Figure 4 As shown, it is a schematic diagram of the structure of a system for obtaining the continuous adsorption amount of an adsorbent, comprising:

[0126] A division module 1, which is used to evenly divide the detection container according to the preset area to form a plurality of initial detection points;

[0127] An acquisition module 2 is used for acquiring the first adsorption image in real time at the initial time interval during continuous pouring of the first process at the initial pouring rate for the target detection point;

[0128] A first analysis module 3, which is used to analyze each first adsorption image, determine a number of real-time diffusion rates according to the analysis results, and determine whether to generate the first actual diffusion curve according to the real-time diffusion rates;

[0129] An adjustment module 4, which determines whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve;

[0130] A second analysis module 5, which is used to perform a second process of continuous pouring on the target detection point according to the first actual pouring rate, collect a plurality of second adsorption images in the second process of continuous pouring in real time, and generate a second actual diffusion curve according to each second adsorption image;

[0131] A determination module 6 analyzes the second actual diffusion curve, and stops pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition;

[0132] The output module 7 weighs the detection container when the pouring is stopped, and determines the actual continuous adsorption amount of the adsorbent according to the weighing result.

[0133] Specifically, the embodiment of the present invention ensures comprehensive and high-precision monitoring of the adsorption process by evenly dividing the detection container and combining the acquisition module to collect adsorption images in real time. The refined monitoring method helps to capture subtle changes in the adsorption process and improve the accuracy and reliability of the data; the first analysis module and the second analysis module use advanced image processing and analysis technology to perform real-time analysis on the collected adsorption images, quickly and accurately determine the real-time diffusion rate and generate the actual diffusion curve. The intelligent analysis method not only improves work efficiency, but also reduces human errors and ensures the accuracy of the analysis results; according to the analysis results of the first actual diffusion curve, the initial pouring rate is dynamically adjusted to adapt to changes in the adsorption process, accurately judge whether the adsorption process reaches the preset standard adsorption saturation condition, and control the timing of stopping pouring accordingly, thereby ensuring the accuracy of measuring the continuous adsorption amount of the adsorbent.

[0134] The calculation compensation parameters and the calculation adjustment parameters described in the present invention have two functions: one is to balance the left and right dimensions of the formula, and the other is to adjust the numerical results. No specific assignment is performed in this embodiment. In addition, the calculation formulas in this embodiment are used to intuitively reflect the adjustment relationship between the numerical values, such as positive correlation and negative correlation. Unless otherwise specified, the parameter values ​​that are not specifically limited to numerical values ​​are all positive.

[0135] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0136] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for obtaining the continuous adsorption amount of an adsorbent, characterized in that: include: Evenly spread a preset weight of adsorbent into a detection container, and evenly divide the detection container according to a preset area to form a number of initial detection points; Select any initial detection point as a target detection point, perform a first process continuous pouring at an initial pouring rate on the target detection point, and collect a first adsorption image in real time at a preset initial time interval during the first process continuous pouring; Analyzing each first adsorption image, determining a number of real-time diffusion rates according to the analysis results, and determining whether to generate a first actual diffusion curve according to the real-time diffusion rates; Determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve, and obtaining a first actual pouring rate when adjustment is required; Performing continuous pouring of a second process on the target detection point at the first actual pouring rate, collecting a plurality of second adsorption images in the continuous pouring of the second process in real time, and generating a second actual diffusion curve according to each second adsorption image; Analyzing the second actual diffusion curve, and stopping pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition; When pouring is stopped, the detection container is weighed, and the actual continuous adsorption amount of the adsorbent is determined according to the weighing result; The process of analyzing each first adsorption image and determining a plurality of real-time diffusion rates according to the analysis results includes: For any first adsorption image, identifying a shadow portion in the first adsorption image to obtain an actual adsorption area; Calculating an area difference between the actual adsorption areas in the first adsorption images acquired at adjacent initial time intervals, and calculating the real-time diffusion rate according to the area difference combined with the initial time interval; The process of identifying the shadow portion in the first adsorption image to obtain the actual adsorption area includes: Identifying a number of actual grayscale values ​​in the first adsorption image, and marking an area where the actual grayscale value is less than a preset standard grayscale value to obtain a marked area; Analyze the marked area to obtain contour features of the marked area, and determine whether to start a contour correction mode according to the contour features; When the edge clarity of the contour feature is insufficient, starting the contour correction mode; Based on the contour correction mode, differentially adjust the brightness inside and outside the contour of the marked area to obtain the target area; Identifying the target area to obtain the actual adsorption area; Wherein, the actual adsorption area is the shaded part; The process of determining whether to generate a first actual diffusion curve according to the real-time diffusion rate includes: Calculate a first difference absolute value according to any of the real-time diffusion rates combined with a preset standard diffusion rate; The absolute value of the first difference=|real-time diffusion rate-standard diffusion rate|; Determining whether to generate the first actual diffusion curve based on the first difference absolute value combined with a preset first evaluation value; Wherein, based on the absolute value of the first difference being greater than or equal to the first evaluation value, it is determined that the first actual diffusion curve is generated; and the real-time diffusion rate is determined to be the first curve end point of the first actual diffusion curve; In a specific implementation process, the real-time diffusion rate obtained at each initial time interval is collected, and when the absolute value of the first difference corresponding to any real-time diffusion rate is greater than or equal to the first evaluation value, the first actual diffusion curve is generated according to the data of each collection point before the real-time diffusion rate; The process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve includes: identifying the first actual diffusion curve to obtain a first actual slope corresponding to an end point of the first curve; determining whether the first actual slope meets a single adjustment condition according to the first actual slope combined with a preset standard slope evaluation interval; Wherein, based on the first actual slope being within the standard slope evaluation interval, it is determined that the first actual slope meets the single adjustment condition; based on the first actual slope not being within the standard slope evaluation interval, it is determined that the first actual slope does not meet the single adjustment condition; When the first actual slope is less than or equal to the second standard slope and greater than the first standard slope, it is determined that the first actual slope meets the single adjustment condition; the first standard slope is the upper limit value of the standard slope evaluation interval; the second standard slope is the lower limit value of the standard slope evaluation interval; The process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve further includes: Based on the first actual slope meeting the single adjustment condition, obtaining a first slope maintenance time corresponding to the end point of the first curve; Determining whether the first slope maintenance time meets the single adjustment condition according to the first slope maintenance time combined with a preset standard time; Wherein, based on the first slope maintenance time being greater than or equal to the standard time, it is determined that the first slope maintenance time meets the single adjustment condition; based on the first slope maintenance time being less than the standard time, it is determined that the first slope maintenance time does not meet the single adjustment condition; The process of determining whether to adjust the initial pouring rate based on the analysis result of the first actual diffusion curve further includes: Determining the number of items in the first actual slope and the first slope maintenance time that meet the single adjustment condition; When the number of items is equal to 2, it is determined that the initial pouring rate is adjusted to obtain the first actual pouring rate; Wherein, the first actual pouring rate = initial pouring rate × [1-(second standard slope-first actual slope) / second standard slope-(first slope maintenance time-standard time) / standard time]; The second standard slope is a lower limit value of the standard slope evaluation interval.

2. The method for obtaining the continuous adsorption amount of an adsorbent according to claim 1, characterized in that: When the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition, the process of stopping pouring includes: identifying the second actual diffusion curve to obtain a second actual slope corresponding to an end point of the second curve; Obtaining a second slope maintenance time corresponding to an end point of the second curve; When the second actual slope is less than or equal to the first standard slope and the second slope is maintained for a time greater than or equal to the standard time, it is determined that the second actual adsorption parameter reaches the standard adsorption saturation condition; The second actual adsorption parameter includes: the second actual slope and the second slope maintenance time.

3. The method for obtaining the continuous adsorption amount of an adsorbent according to claim 2, characterized in that: The process of weighing the detection container and determining the actual continuous adsorption amount of the adsorbent according to the weighing result includes: When pouring is stopped, weighing the detection container to obtain the actual weight; Determine the actual continuous adsorption amount according to the actual weight combined with the initial weight; The initial weight is the total weight of the detection container and the adsorbent before pouring.

4. A system for obtaining the continuous adsorption amount of an adsorbent, based on the method for obtaining the continuous adsorption amount of an adsorbent according to any one of claims 1 to 3, characterized in that: include: A division module, used for evenly dividing the detection container according to the preset area to form a plurality of initial detection points; A collection module, used for collecting the first adsorption image in real time at the initial time interval during continuous pouring of the first process at the initial pouring rate for the target detection point; A first analysis module, which is used to analyze each first adsorption image, determine a number of real-time diffusion rates according to the analysis results, and determine whether to generate the first actual diffusion curve according to the real-time diffusion rates; an adjustment module, which determines whether to adjust the initial pouring rate based on an analysis result of the first actual diffusion curve; A second analysis module, which is used to perform a second process of continuous pouring on the target detection point according to the first actual pouring rate, collect a plurality of second adsorption images in the second process of continuous pouring in real time, and generate a second actual diffusion curve according to each second adsorption image; a determination module, which analyzes the second actual diffusion curve and stops pouring when the second actual adsorption parameter corresponding to the second actual diffusion curve reaches a preset standard adsorption saturation condition; An output module is configured to weigh the detection container when the pouring is stopped, and determine the actual continuous adsorption amount of the adsorbent according to the weighing result.

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