Intelligent paperless conference management method and system based on digital twin technology

Abstract

The present invention belongs to the technical field of intelligent conference management. The present invention provides an intelligent paperless conference management method and system based on digital twin technology, including: clustering analysis of the pixel coordinates of annotations in a document after a simulation test display to obtain a display test parameter group set, and comparing it with the display parameter combination of a conference display device to determine whether annotation conversion adjustment is required. If necessary, the annotation conversion adjustment method is determined. If it is an overall conversion, the annotation pixel coordinates of each conference display device are converted to annotation logical coordinates. If it is a multi-body conversion, the conversion display device is determined according to the comparison analysis results of the display parameter group and the display test parameter group set, and the annotation pixel coordinates of the conversion display device are converted to annotation logical coordinates. This solves the problem of annotation coordinate position offset caused by document annotations being displayed under different display parameters of the display device in paperless meetings, thereby helping to improve the quality and efficiency of meetings.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent conference management, and specifically to an intelligent paperless conference management method and system based on digital twin technology. Background Art

[0002] With the rapid development of digital office work, paperless meetings, with their efficiency, environmental friendliness, and convenience, have become a crucial way for modern businesses and organizations to collaborate and communicate. In paperless meetings, participants discuss meeting documents electronically, enabling real-time information sharing and exchange, significantly improving meeting interactivity and decision-making efficiency.

[0003] However, current technology has significant shortcomings in paperless conferencing applications. Due to the varying physical parameters of different conference display devices, such as resolution and DPI (dots per inch), when annotated conference documents are displayed on these devices, the annotation coordinates will shift. This means that annotations added on one device will not accurately correspond to the original document content when displayed on other devices, leading to confusing information transmission and difficulty for participants to quickly access accurate annotation information. This annotation coordinate shift not only disrupts the fluidity of meeting discussions but can also cause meeting decisions to be based on erroneous or unclear information, severely impacting the quality and efficiency of meetings and becoming a key bottleneck restricting the further promotion and application of paperless conferencing technology.

[0004] To this end, the present invention provides an intelligent paperless conference management method and system based on digital twin technology. Summary of the Invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: an intelligent paperless conference management method based on digital twin technology, including:

[0007] Performing simulation test displays on the annotated conference document under different display test parameter combinations, and performing cluster analysis on the pixel coordinates of the annotations in the document after the simulation test display to obtain multiple display test parameter sets;

[0008] Obtain the display parameter combination of each conference display device during the meeting and compare it with the display test parameter set to determine whether annotation conversion adjustment is required;

[0009] If necessary, analyzing the comparison results of the display parameter combination and the display test parameter set to determine the annotation conversion adjustment method, wherein the annotation conversion adjustment method includes annotation overall conversion and annotation multi-body conversion;

[0010] If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device;

[0011] If the annotation conversion adjustment method is multi-body conversion, the comparison results of the display parameter group and the display test parameter group are analyzed, the conversion display device is determined in the conference display device, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates.

[0012] Furthermore, the process of clustering analysis on the pixel coordinates of the annotations in the document after the simulation test display is as follows:

[0013] After the simulation test display, the pixel coordinates of the annotations in the document under different display test parameter combinations are obtained, and the display test parameter combinations are combined in pairs to obtain multiple display test parameter combination pairs;

[0014] Among them, the display test parameter combination includes resolution and DPI;

[0015] By processing and analyzing the display test parameter combination pairs, the annotation deviation mean of the display test parameter combination pairs is obtained;

[0016] The annotation deviation means of the displayed test parameter combination pairs are transformed into matching score-distance order to construct the parameter combination distance matrix, which is clustered in combination with the K-means clustering algorithm and output to display the test parameter group set.

[0017] Furthermore, the annotation deviation mean of the display test parameter combination pair is obtained by calculating the Euclidean distance between the pixel coordinates of each document annotation corresponding to the two display test parameter combinations in the display test parameter combination pair and performing averaging processing.

[0018] Furthermore, the matching score-distance sequence conversion process is as follows:

[0019] The mean annotation deviations of the display test parameter combination pairs are Z-score normalized, and after normalization, the mean annotation deviations of the display test parameter combination pairs are converted into matching scores in the range of 0-1 by linear scaling;

[0020] The matching score is converted to a distance according to the distance definition. The specific conversion method is: distance = 1-matching score.

[0021] Furthermore, the process of clustering by combining the K-means clustering algorithm and outputting the test parameter set is as follows:

[0022] S1, converts the parameter combination distance matrix into a feature vector;

[0023] S2, the optimal number of clusters K is determined by the elbow rule and is determined by calculating the moment of inertia under different K values;

[0024] S3, based on the optimal number of clusters K, randomly select K display test parameter combinations as the initial centers;

[0025] S4, assign each parameter combination to the nearest center, calculate the cluster mean as the new center, and repeat until the center no longer changes;

[0026] S5, output shows the test parameter set.

[0027] Furthermore, the process of determining whether annotation conversion adjustment is required is as follows:

[0028] Obtain the display parameter combination of each conference display device during the conference, and compare it with the display test parameter set to determine the target display test parameter set for the display parameter combination;

[0029] If a display test parameter combination identical to the display parameter combination exists in the display test parameter set, the display test parameter set is defined as a target display test parameter set for the display parameter combination, and the display parameter combination is defined as a display subset of the target display test parameter set;

[0030] If the target display test parameter set of all display parameter combinations is the same display test parameter set, it means that no annotation conversion adjustment is required; otherwise, it means that annotation conversion adjustment is required.

[0031] Furthermore, the method for determining the annotation conversion adjustment is:

[0032] Counting the ratio of the target display test parameter set to all display test parameter set sets to obtain a display difference value;

[0033] Counting the number of display subsets of each target display test parameter set and integrating them into a display subset sequence, calculating the coefficient of variation of the display subset sequence, and obtaining a display fluctuation value;

[0034] Calculate the deviation of the display fluctuation value of the display difference value to obtain the display performance value;

[0035] If the display performance value meets the display performance threshold, the annotation conversion adjustment method is annotation overall conversion; if the display performance value is less than the display performance threshold, the annotation conversion adjustment method is annotation multi-body conversion.

[0036] Furthermore, the process of converting the annotation pixel coordinates to the annotation logical coordinates for each conference display device is as follows:

[0037] Convert annotation pixel coordinates to annotation logical coordinates. The specific conversion method is:

[0038]

[0039] According to the annotation logical coordinates of the document, when each conference display device displays the document, the document annotation pixel coordinates are converted into annotation logical coordinates.

[0040] Furthermore, the method of determining the switching display device is:

[0041] Obtain the number of display subsets of the target display test parameter set, locate the target display test parameter set with the largest number of display subsets, use the conference display device corresponding to the display parameter combination in the target display test parameter set as a non-conversion display device, use all devices except the non-conversion display device as conversion display devices, and convert the annotation pixel coordinates of the conversion display device to the annotation logical coordinates.

[0042] An intelligent paperless conference management system based on digital twin technology is characterized by:

[0043] Display cluster analysis module: simulates the display of annotated conference documents under different display test parameter combinations, and performs cluster analysis on the pixel coordinates of annotations in the document after the simulated test display to obtain multiple display test parameter sets;

[0044] Annotation conversion adjustment module: obtains the display parameter combination of each conference display device during the meeting, and compares it with the display test parameter set to determine whether annotation conversion adjustment is needed;

[0045] Adjustment mode selection module: if necessary, analyze the comparison results of the display parameter combination and the display test parameter set to determine the annotation conversion adjustment mode, wherein the annotation conversion adjustment mode includes annotation overall conversion and annotation multi-body conversion;

[0046] Annotation overall conversion module: If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device;

[0047] Annotation multi-body conversion module: If the annotation conversion adjustment method is multi-body conversion, the comparison results of the display parameter group and the display test parameter group are analyzed, the conversion display device is determined in the conference display device, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates.

[0048] The beneficial effects of the present invention are as follows: the annotated conference document is simulated tested and displayed under different display test parameter combinations, and the pixel coordinates of the annotations in the document after the simulation test display are clustered and analyzed to obtain multiple display test parameter sets, and the display parameter combination of each conference display device during the meeting is obtained and compared with the display test parameter set. According to the comparison result, it is determined whether annotation conversion adjustment is required. If necessary, based on the comparison analysis result of the display parameter combination and the display test parameter set, the annotation conversion adjustment method is determined, wherein the annotation conversion adjustment method includes annotation overall conversion and annotation multi-body conversion. If the annotation conversion adjustment method is overall conversion, the annotation pixel coordinates of each conference display device are annotated. To the conversion of annotation logical coordinates, if the annotation conversion adjustment method is multi-body conversion, then the conversion display device is determined in the conference display device according to the comparison analysis results of the display parameter group and the display test parameter group set, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates. The present invention realizes the coordinate conversion of document annotations through various digital twin technologies such as different display parameter combinations (digital twins of physical display devices) and annotation pixel coordinate data (digital mirror of annotations), and solves the problem of annotation coordinate position offset in paperless meetings due to the display of document annotations under different display parameters (resolution and DPI) of the display device, which is beneficial to improving the quality and efficiency of meetings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The present invention will be further described below with reference to the accompanying drawings.

[0050] Figure 1 This is the intelligent paperless conference management method based on digital twin technology described in an embodiment of the present invention;

[0051] Figure 2 This is an intelligent paperless conference management system based on digital twin technology described in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0053] Example 1: Please refer to Figure 1 As shown, the intelligent paperless conference management method based on digital twin technology according to the embodiment of the present invention includes the following steps:

[0054] Step 1: Performing simulation test display on the annotated conference document under different display test parameter combinations, and performing cluster analysis on the pixel coordinates of the annotations in the document after the simulation test display to obtain multiple display test parameter sets;

[0055] In step 1, the display test parameter combination includes the resolution and DPI (dots per inch) of the device. For example, the resolution is commonly 1920×1080, 2560×1440, 3840×2160, etc., and the DPI is (72, 96, 120, 144, 192 DPI). Example parameter combinations are: (1920×1080, 72), (1920×1080, 96), and (2560×1440, 120), etc.

[0056] In step 1, the process of clustering analysis on the pixel coordinates of the annotations in the document after the simulation test display is as follows:

[0057] After the simulation test display, the pixel coordinates of the annotations in the document under different display test parameter combinations are obtained, and the display test parameter combinations are combined in pairs to obtain multiple display test parameter combination pairs;

[0058] It should be noted that the pixel coordinates of annotations in a document can be obtained in the following ways:

[0059] Method 1: Structured annotation (such as PDF annotation): directly obtain pixel coordinates through the document API;

[0060] Method 2: Image annotation (such as handwriting): Use computer vision algorithms (OpenCV) to identify the annotation area and extract the bounding box coordinates;

[0061] It should also be noted that the specific non-repeating combinations of the display test parameter combinations are: for example, if the existing display test parameter combinations are A, B, C, and D, then the display test parameter combination pairs obtained after the two combinations are: (A, B), (A, C), (A, D), (B, C), (B, D), (C, D), (A, A), etc.

[0062] For each display test parameter combination pair, the Euclidean distance between the pixel coordinates of each document annotation corresponding to the two display test parameter combinations in the display test parameter combination pair is calculated using the Euclidean distance method;

[0063] For example, assuming that the display test parameter combination pair is (A, B), the specific calculation formula is:

[0064]

[0065] Where di represents the Euclidean distance of the i-th document annotation, x i A Indicates the horizontal coordinate of the i-th document annotation pixel corresponding to the test parameter combination A, x i B Indicates the horizontal coordinate of the i-th document annotation pixel corresponding to the test parameter combination B, y iA Indicates the vertical coordinate of the i-th document annotation pixel corresponding to the test parameter combination A, y i B Indicates the vertical coordinate of the pixel of the i-th document annotation corresponding to the display test parameter combination B. For example, for the first annotation (annotation 1) in the document, the coordinates under the display test parameter groups A and B are (100, 200) and (110, 205), then the Euclidean distance ;

[0066] The Euclidean distances between the pixel coordinates of each document annotation corresponding to the two display test parameter combinations in the display test parameter combination pair are averaged to obtain the annotation deviation mean of the display test parameter combination pair;

[0067] The mean annotation deviation of the display test parameter combination pair is Z-score normalized, and after normalization, the mean annotation deviation of the display test parameter combination pair is converted into a matching score in the range of 0-1 by linear scaling. The specific conversion formula is:

[0068]

[0069] in, represents the matching score after conversion, X represents the initial annotation deviation mean, min(X) represents the minimum value in the annotation deviation mean, and max(X) represents the maximum value in the annotation deviation mean;

[0070] For example, the mean values ​​of the annotation deviations for the display test parameter combination pairs are converted into matching scores in the range of 0-1, as shown in Table 1, which includes the display test parameter combination pairs (A, B) and (A, C);

[0071] Table 1: Results of converting the mean annotation deviations of the test parameter combination pairs into matching scores;

[0072]

[0073] After converting the mean of the annotation deviation of the display test parameter combination pair into a matching score, the matching score is transformed into a distance according to the distance definition. The specific conversion method is: distance = 1-matching score;

[0074] Based on the transformed distance, the parameter combination distance matrix is ​​constructed, as shown in Table 2;

[0075] Table 2: Distance matrix of parameter combinations after conversion to distance based on matching scores;

[0076]

[0077] Based on the parameter combination, the distance matrix is ​​clustered in combination with the K-means clustering algorithm. The specific process is as follows:

[0078] S1, convert the parameter combination distance matrix into a feature vector, for example:

[0079] A:[0,0.15,0.28,0.32]

[0080] B:[0.15,0,0.22,0.27]

[0081] C:[0.28,0.22,0,0.18]

[0082] D:[0.32,0.27,0.18,0]

[0083] S2, determine the optimal number of clusters K by the elbow rule, specifically by calculating the moment of inertia (sum of squares within the cluster) under different K values, for example:

[0084]

[0085] Select K=2 as the optimal number of clusters;

[0086] S3, based on the optimal number of clusters K, randomly select K combinations of display test parameters as initial centers (such as A and C);

[0087] S4, assign each parameter combination to the nearest center (e.g. B is closer to A, D is closer to C), calculate the cluster mean as the new center, and repeat until the center no longer changes;

[0088] S5, output and display the test parameter set;

[0089] It is understandable that the purpose of obtaining the display test parameter set is to:

[0090] Function 1: Determine annotation conversion adjustment: By comparing the display test parameter set with the subsequent display parameter combination, it is helpful to determine whether it is necessary to perform annotation conversion adjustment on the conference display device when displaying documents during the meeting;

[0091] Function 2: Determine the annotation conversion adjustment method: By combining the comparison results of the display test parameter set and the subsequent display parameter combination, display difference and display fluctuation analysis are performed, which is conducive to the subsequent determination of the conversion adjustment method for annotations when displaying documents;

[0092] Function 3: Determination of the conversion display device: Obtaining a display test parameter set, and concentrating the distribution of display parameter combinations of the conference display device by combining the display test parameter set, is conducive to determining the conversion display device under the annotation multi-body conversion mode;

[0093] Step 2: Obtain the display parameter combination of each conference display device during the meeting, and compare it with the display test parameter set to determine whether annotation conversion adjustment is required;

[0094] In step 2, the process of determining whether annotation conversion adjustment is required is as follows:

[0095] Obtaining a display parameter combination of each conference display device and comparing it with a display test parameter set to determine a target display test parameter set for the display parameter combination;

[0096] It should be noted that the display parameter combination of the conference display device includes the resolution and DPI of the conference display device;

[0097] The target display test parameter set for the display parameter combination is specifically determined as follows:

[0098] If a display test parameter combination identical to the display parameter combination exists in the display test parameter set, the display test parameter set is defined as a target display test parameter set for the display parameter combination, and the display parameter combination is defined as a display subset of the target display test parameter set;

[0099] If the target display test parameter set of all display parameter combinations is the same display test parameter set, it means that no annotation conversion adjustment is required; otherwise, it means that annotation conversion adjustment is required;

[0100] It can be understood that if the target display test parameter set for all display parameter combinations is the same display test parameter set, then the document annotation will be displayed in all current display parameter combinations, and no significant shift in the annotation coordinates will occur. This is because the display test parameter combinations with the same annotation coordinates have been clustered through cluster analysis.

[0101] Step 3: If necessary, analyze the comparison results of the display parameter combination and the display test parameter set to determine the annotation conversion adjustment method, wherein the annotation conversion adjustment method includes annotation overall conversion and annotation multi-body conversion;

[0102] In step 3, determine the annotation conversion adjustment method as follows:

[0103] Counting the ratio of the target display test parameter set to all display test parameter set sets to obtain a display difference value;

[0104] Counting the number of display subsets of each target display test parameter set and integrating them into a display subset sequence;

[0105] Calculate the coefficient of variation of the display subset sequence to obtain the display fluctuation value;

[0106] Calculate the deviation of the display fluctuation value of the display difference value to obtain the display performance value;

[0107] In some embodiments, the display performance value is compared to a display performance threshold;

[0108] If the display performance value is greater than or equal to the display performance threshold, the annotation conversion adjustment method is the overall annotation conversion;

[0109] If the display performance value is less than the display performance threshold, the annotation conversion adjustment mode is annotation multi-body conversion;

[0110] It can be understood that the physical meaning of the display performance value is: if the display performance value is larger, it reflects that the proportion of the target display test parameter set in all display test parameter sets is high (the display difference value is large), which directly reflects that the display parameter distribution of each conference display device is located in a relatively dispersed display test parameter set. Therefore, when each conference display device performs document annotation display, the pixel coordinate difference of the document annotation between the display devices is relatively large. Moreover, if the display performance value is larger, the number of display subsets of the target display test parameter set fluctuates weakly (the display fluctuation value is small), which directly reflects that on the basis of the large difference in pixel coordinates of document annotation between display devices, the number of devices distributed between each pixel coordinate difference is relatively balanced. In this case, overall annotation conversion is adopted to improve the efficiency of annotation conversion.

[0111] Step 4: If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device;

[0112] In step 4, the process of converting the annotation pixel coordinates to the annotation logical coordinates for each conference display device is as follows:

[0113] Convert annotation pixel coordinates to annotation logical coordinates. The specific conversion method is:

[0114]

[0115] According to the annotation logical coordinates of the document, when each conference display device displays the document, the document annotation pixel coordinates are converted into annotation logical coordinates;

[0116] Step 5: If the annotation conversion adjustment mode is multi-body conversion, analyze the comparison results of the display parameter group and the display test parameter group set, determine the conversion display device in the conference display device, and convert the annotation pixel coordinates to the annotation logical coordinates for the conversion display device;

[0117] In step 5, the method for switching the display device is determined as follows:

[0118] Obtain the number of display subsets of the target display test parameter set, locate the target display test parameter set with the largest number of display subsets, use the conference display device corresponding to the display parameter combination in the target display test parameter set as a non-conversion display device, use all devices except the non-conversion display device as conversion display devices, and convert the annotation pixel coordinates of the conversion display device to the annotation logical coordinates.

[0119] The technical solution of the embodiment of the present invention is: simulate test display of annotated conference documents under different display test parameter combinations, and cluster analysis of the pixel coordinates of the annotations in the document after the simulated test display to obtain multiple display test parameter sets, obtain the display parameter combination of each conference display device during the meeting, and compare it with the display test parameter set, and judge whether annotation conversion adjustment is needed based on the comparison result. If necessary, based on the comparison analysis result of the display parameter combination and the display test parameter set, determine the annotation conversion adjustment method, wherein the annotation conversion adjustment method includes annotation overall conversion and annotation multi-body conversion. If the annotation conversion adjustment method is overall conversion, the annotation pixel coordinates of each conference display device are converted. The conversion from the mark to the annotation logical coordinates. If the annotation conversion adjustment method is multi-body conversion, the conversion display device is determined in the conference display device according to the comparison analysis results of the display parameter group and the display test parameter group set, and the annotation pixel coordinates to the annotation logical coordinates are converted for the conversion display device. The present invention realizes the coordinate conversion of document annotations through various digital twin technologies such as different display parameter combinations (digital twins of physical display devices) and annotation pixel coordinate data (digital mirror of annotations), and solves the problem of annotation coordinate position offset in paperless meetings due to the display of document annotations under different display parameters (resolution and DPI) of the display device, which is beneficial to improving the quality and efficiency of meetings.

[0120] Example 2: Please refer to Figure 2 As shown, the intelligent paperless conference management system based on digital twin technology according to the embodiment of the present invention includes:

[0121] Display cluster analysis module: simulates the display of annotated conference documents under different display test parameter combinations, and performs cluster analysis on the pixel coordinates of annotations in the document after the simulated test display to obtain multiple display test parameter sets;

[0122] Annotation conversion adjustment module: obtains the display parameter combination of each conference display device during the meeting, and compares it with the display test parameter set to determine whether annotation conversion adjustment is needed;

[0123] Adjustment mode selection module: if necessary, analyze the comparison results of the display parameter combination and the display test parameter set to determine the annotation conversion adjustment mode, wherein the annotation conversion adjustment mode includes annotation overall conversion and annotation multi-body conversion;

[0124] Annotation overall conversion module: If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device;

[0125] Annotation multi-body conversion module: If the annotation conversion adjustment method is multi-body conversion, the comparison results of the display parameter group and the display test parameter group are analyzed, the conversion display device is determined in the conference display device, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates.

[0126] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent paperless conference management method based on digital twin technology, characterized by: include: Performing simulation test displays on the annotated conference document under different display test parameter combinations, and performing cluster analysis on the pixel coordinates of the annotations in the document after the simulation test display to obtain multiple display test parameter sets; Obtain the display parameter combination of each conference display device and compare and analyze it with the display test parameter set to determine whether annotation conversion adjustment is required; The process of determining whether annotation conversion adjustment is required is as follows: Obtain the display parameter combination of each conference display device during the conference, and compare it with the display test parameter set to determine the target display test parameter set for the display parameter combination; If a display test parameter combination identical to the display parameter combination exists in the display test parameter set, the display test parameter set is defined as a target display test parameter set for the display parameter combination, and the display parameter combination is defined as a display subset of the target display test parameter set; If the target display test parameter set of all display parameter combinations is the same display test parameter set, it means that no annotation conversion adjustment is required; otherwise, it means that annotation conversion adjustment is required; If necessary, analyzing the comparison results of the display parameter combination and the display test parameter set to determine the annotation conversion adjustment method, wherein the annotation conversion adjustment method includes annotation overall conversion and annotation multi-body conversion; The method for determining the annotation conversion adjustment is: Counting the ratio of the target display test parameter set to all display test parameter set sets to obtain a display difference value; Counting the number of display subsets of each target display test parameter set and integrating them into a display subset sequence, calculating the coefficient of variation of the display subset sequence, and obtaining a display fluctuation value; Calculate the deviation between the display difference value and the display fluctuation value to obtain the display performance value; If the display performance value meets the display performance threshold, the annotation conversion adjustment mode is annotation overall conversion; if the display performance value is less than the display performance threshold, the annotation conversion adjustment mode is annotation multi-body conversion; If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device; If the annotation conversion adjustment method is multi-body conversion, the comparison results of the display parameter combination and the display test parameter group are analyzed, the conversion display device is determined in the conference display device, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates.

2. The intelligent paperless conference management method based on digital twin technology according to claim 1 is characterized by: The process of clustering analysis on the pixel coordinates of the annotations in the document after the simulation test display is as follows: After the simulation test display, the pixel coordinates of the annotations in the document under different display test parameter combinations are obtained, and the display test parameter combinations are combined in pairs to obtain multiple display test parameter combination pairs; Among them, the display test parameter combination includes resolution and DPI; By processing and analyzing the display test parameter combination pairs, the annotation deviation mean of the display test parameter combination pairs is obtained; The annotation deviation means of the displayed test parameter combination pairs are transformed into matching score-distance order to construct the parameter combination distance matrix, which is clustered in combination with the K-means clustering algorithm and output to display the test parameter group set.

3. The intelligent paperless conference management method based on digital twin technology according to claim 2 is characterized by: The annotation deviation mean of the display test parameter combination pair is obtained by calculating the Euclidean distance between the pixel coordinates of each document annotation corresponding to the two display test parameter combinations in the display test parameter combination pair and performing averaging processing.

4. The intelligent paperless conference management method based on digital twin technology according to claim 2 is characterized by: The process of sequential conversion of matching score to distance is as follows: The mean annotation deviations of the display test parameter combination pairs are Z-score normalized, and after normalization, the mean annotation deviations of the display test parameter combination pairs are converted into matching scores in the range of 0-1 by linear scaling; The matching score is converted to a distance according to the distance definition. The specific conversion method is: distance = 1-matching score.

5. The intelligent paperless conference management method based on digital twin technology according to claim 2 is characterized by: The process of clustering using the K-means clustering algorithm and outputting the test parameter set is as follows: S1, converts the parameter combination distance matrix into a feature vector; S2, the optimal number of clusters K is determined by the elbow rule and is determined by calculating the moment of inertia under different K values; S3, based on the optimal number of clusters K, randomly select K display test parameter combinations as the initial centers; S4, assign each parameter combination to the nearest center, calculate the cluster mean as the new center, and repeat until the center no longer changes; S5, output shows the test parameter set.

6. The intelligent paperless conference management method based on digital twin technology according to claim 1 is characterized by: The process of converting the annotation pixel coordinates to the annotation logical coordinates for each conference display device is as follows: Convert annotation pixel coordinates to annotation logical coordinates. The specific conversion method is: According to the annotation logical coordinates of the document, when each conference display device displays the document, the document annotation pixel coordinates are converted into annotation logical coordinates.

7. The intelligent paperless conference management method based on digital twin technology according to claim 6 is characterized by: The method for determining the switching display device is: Obtain the number of display subsets of the target display test parameter set, locate the target display test parameter set with the largest number of display subsets, use the conference display device corresponding to the display parameter combination in the target display test parameter set as a non-conversion display device, use all devices except the non-conversion display device as conversion display devices, and convert the annotation pixel coordinates of the conversion display device to the annotation logical coordinates.

8. Intelligent paperless conference management system based on digital twin technology, characterized by: include: Display cluster analysis module: simulates the display of annotated conference documents under different display test parameter combinations, and performs cluster analysis on the pixel coordinates of annotations in the document after the simulated test display to obtain multiple display test parameter sets; Annotation conversion adjustment module: obtains the display parameter combination of each conference display device during the meeting, compares it with the display test parameter set, and determines whether annotation conversion adjustment is needed based on the comparison results; The process of determining whether annotation conversion adjustment is required is as follows: Obtain the display parameter combination of each conference display device during the conference, and compare it with the display test parameter set to determine the target display test parameter set for the display parameter combination; If a display test parameter combination identical to the display parameter combination exists in the display test parameter set, the display test parameter set is defined as a target display test parameter set for the display parameter combination, and the display parameter combination is defined as a display subset of the target display test parameter set; If the target display test parameter set of all display parameter combinations is the same display test parameter set, it means that no annotation conversion adjustment is required; otherwise, it means that annotation conversion adjustment is required; Adjustment mode selection module: if necessary, based on the comparison and analysis results of the display parameter combination and the display test parameter set, determine the annotation conversion adjustment mode, wherein the annotation conversion adjustment mode includes annotation overall conversion and annotation multi-body conversion; The method for determining the annotation conversion adjustment is: Counting the ratio of the target display test parameter set to all display test parameter set sets to obtain a display difference value; Counting the number of display subsets of each target display test parameter set and integrating them into a display subset sequence, calculating the coefficient of variation of the display subset sequence, and obtaining a display fluctuation value; Calculate the deviation between the display difference value and the display fluctuation value to obtain the display performance value; If the display performance value meets the display performance threshold, the annotation conversion adjustment mode is annotation overall conversion; if the display performance value is less than the display performance threshold, the annotation conversion adjustment mode is annotation multi-body conversion; Annotation overall conversion module: If the annotation conversion adjustment mode is overall conversion, the annotation pixel coordinates are converted to annotation logical coordinates for each conference display device; Annotation multi-body conversion module: If the annotation conversion adjustment mode is multi-body conversion, the conversion display device is determined in the conference display device according to the comparison analysis results of the display parameter group and the display test parameter group set, and the annotation pixel coordinates of the conversion display device are converted to the annotation logical coordinates.

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