A data fusion method for a visualization platform and an entity archive management system

Abstract

The present application relates to the technical field of data visualization management, in particular to a data fusion method for a visualization platform and an entity archive management system, which firstly analyzes the similarity between the path behavior of historical data in the archive observation section when calling the archive and the path behavior of each archive calling process in the archive observation section to determine the archive calling possibility; then based on the archive calling possibility, the path behavior coding sequence obtained by coding is used to more accurately quantify the behavior information of each archive calling process; thus the overall deviation between the archive calling process and the historical data in the archive calling habit dimension is combined to determine the abnormal possibility of each archive calling process; the archive calling abnormal process screened based on the abnormal possibility is more accurate, the accuracy of the corresponding archive management information visualization processing is higher, and thus the efficiency of tracing when the archive problem occurs is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data visualization management, and particularly relates to a data fusion method for a visualization platform and an entity archive management system. BACKGROUND

[0002] The entity archive management system is an information system specially used for managing and organizing physical archives, and mainly includes the functions of recording, searching, archiving physical archives, and providing related management functions. The system realizes non-contact collection, accurate positioning and dynamic path tracking of archives through RFID technology, and displays the storage position, borrowing state and environmental state of archives through a 3D model of the warehouse constructed by WebGL, and through technical means such as space utilization rate algorithm and channel door scanning. The borrowing frequency and inventory of the archives in the past time period are obtained through time axis playback. Then, the data is converted into graphics and images through visualization technology, so as to realize the whole process control of the archives in the warehouse and the retrieval record.

[0003] The existing entity archive management technology automatically constructs the storage position of each entity archive according to the classification, size and space utilization rate algorithm of the archives, such as a certain archive shelf, a certain column and a certain layer. Then, the RFID tag of the archives is scanned through the RFID channel door and each high-frequency scanning instrument, and the position of the archives is determined according to the relative position of the archives and the channel door. Then, the calling frequency and related data of the archives are obtained according to the out-of-warehouse time of the corresponding RFID signal of the archives and the corresponding retrieval data, and the retrieval frequency and importance of the archives are displayed on the visualization platform through visualization technology.

[0004] The existing entity archive management system directly displays the fusion data and retrieval record of the archives after being retrieved, and separately displays the retrieval process of the wrong archives as the abnormal process of retrieving the archives on the visualization platform to trace back when the archives are problematic. However, the existing technology starts to analyze when the archives leave the corresponding position on the archive shelf, without considering the possibility of unintentional mis-taking of the archives by some personnel due to forgetting the location of the archives, so that the accuracy of the existing technology in directly taking the retrieval process of the wrong archives as the abnormal process of retrieving the archives is low, thereby affecting the accuracy of the visualization processing of the archive management information and reducing the efficiency of tracing back when the archives are problematic. SUMMARY

[0005] In order to solve the technical problem of low accuracy of the existing technology in directly taking the retrieval process of the wrong archives as the abnormal process of retrieving the archives, the purpose of the present application is to provide a data fusion method for a visualization platform and an entity archive management system, and the technical solution is as follows:

[0006] The first aspect of the present application provides a visual platform and entity archive management system data fusion method, comprising:

[0007] In the archive room overhead node graph, the archive retrieval path corresponding to each archive retrieval process of each personnel when retrieving the target archive in the archive room is collected; wherein the archive retrieval path comprises at least two archive observation road sections;

[0008] On the archive retrieval path corresponding to each archive retrieval process, the retrieval possibility of the corresponding archive retrieval process is determined according to the similar situation between each archive observation road section and the historical observation road section in the historical data when retrieving the archive on the corresponding archive observation road section; the path behavior coding sequence of the archive retrieval path is determined according to the path optimization condition of the archive retrieval path and the retrieval possibility of each archive observation road section;

[0009] According to the similar situation between each archive retrieval process and each archive retrieval process in the historical data on the path behavior coding sequence and the overall deviation situation, the abnormal possibility of each archive retrieval process is determined; the abnormal archive retrieval process is screened out according to the abnormal possibility; the archive management information visualization processing is carried out according to the abnormal archive retrieval process.

[0010] Further, the retrieval possibility obtaining process comprises:

[0011] The lower left corner of the archive room overhead thumbnail is taken as the origin, the horizontal right direction is taken as the x-axis direction, and the vertical upward direction is taken as the y-axis direction to construct a rectangular coordinate system; the rectangular coordinate system is converted into a polar coordinate system; in each archive retrieval process on the corresponding archive retrieval path, the polar angle of each archive observation road section in the polar coordinate system at all sampling time points is arranged in time sequence to obtain the corresponding travel polar angle sequence; the polar radius of each archive observation road section in the polar coordinate system at all sampling time points is arranged in time sequence to obtain the corresponding travel polar radius sequence;

[0012] Each archive retrieval process of each personnel when retrieving the target archive is sequentially taken as the target retrieval process; each archive observation road section in the target retrieval process is taken as the target observation road section; in the historical data of all personnel, all archive retrieval processes of the target observation road section corresponding to the road section are taken as the reference retrieval process;

[0013] In the target observation road section, the reference similarity between the target retrieval process and each reference retrieval process in the target observation road section is determined according to the similarity between the target retrieval process and each reference retrieval process in the corresponding travel polar angle sequence, travel polar radius sequence and travel time length;

[0014] determine the file retrieval possibility of the target observation route in the target file retrieval process according to the numerical distribution of the reference similarity corresponding to the target file retrieval process.

[0015] Further, the reference similarity obtaining process comprises:

[0016] based on the dynamic time warping algorithm, the DTW distance between the polar angle sequence of the target observation route in the target file retrieval process and the corresponding polar angle sequence in the reference file retrieval process is negatively correlated, and the corresponding polar angle sequence similarity is obtained;

[0017] the DTW distance between the polar radius sequence of the target observation route in the target file retrieval process and the corresponding polar radius sequence in the reference file retrieval process is negatively correlated, and the corresponding polar radius sequence similarity is obtained;

[0018] the difference between the total number of sampling time points of the target observation route in the target file retrieval process and the total number of sampling time points in the reference file retrieval process is obtained, and the time length similarity is obtained;

[0019] According to the normalized value of the mean value between the polar angle sequence similarity, the polar radius sequence similarity and the time length similarity, the corresponding reference similarity is determined.

[0020] Further, the process of determining the file retrieval possibility of the target observation route in the target file retrieval process according to the numerical distribution of the reference similarity corresponding to the target file retrieval process comprises:

[0021] the maximum value of the reference similarity corresponding to the target file retrieval process is taken as the file retrieval possibility of the target observation route on the file retrieval travel path corresponding to the target file retrieval process.

[0022] Further, the path behavior encoding sequence obtaining process comprises:

[0023] the optimal path of each file retrieval process required by each person when retrieving the target file is determined by a path search algorithm when retrieving the target file;

[0024] the overlapping part of the file retrieval travel path in each file retrieval process of each person when retrieving the target file and the optimal path corresponds to the file observation route, which is taken as the optimal travel route; the file observation route with a file retrieval possibility greater than a preset possibility threshold is taken as the file retrieval route; the other file observation routes outside the optimal travel route and the file retrieval route are taken as the suspected detour route;

[0025] The link code of the optimal link section is set as a preset optimal link parameter; the link code of the file retrieval link is set as a preset file retrieval link parameter; and the link code of the suspected detour link is set as a preset detour link parameter.

[0026] The link codes of the observation links in the file retrieval path corresponding to each file retrieval process of each person when retrieving the target file are arranged in sequence to obtain a path behavior code sequence.

[0027] Further, the abnormality possibility obtaining process comprises:

[0028] The DTW distance between the path behavior code sequence corresponding to each file retrieval process of each person when retrieving the target file and the path behavior code sequence corresponding to each other file retrieval process is negatively mapped to determine the retrieval process consistency of the corresponding retrieval process.

[0029] According to the overall similarity of the retrieval process consistency between each file retrieval process and other file retrieval processes, the behavior contribution degree of each file retrieval process is determined.

[0030] The other file retrieval processes of each person when retrieving the target file in the file room are taken as comparative retrieval processes; the behavior contribution degree of each person in each comparative retrieval process is counted; and the cumulative value of the behavior contribution degrees of each person in all comparative retrieval processes is taken as the overall contribution degree of each person.

[0031] The retrieval process consistency between the target retrieval process and each comparative retrieval process is taken as the comparative consistency of each comparative retrieval process; the product of the behavior contribution degree and the comparative consistency of each comparative retrieval process is taken as the comparative contribution degree of each comparative retrieval process; and the cumulative value of the comparative contribution degrees of each person in all comparative retrieval processes is taken as a reference contribution degree.

[0032] According to the negative correlation mapping value of the ratio between the reference contribution degree and the overall contribution degree, the abnormality possibility of the target retrieval process corresponding to each person is determined.

[0033] Further, the behavior contribution degree obtaining process comprises:

[0034] The average value of the retrieval process consistencies corresponding to each file retrieval process of each person when retrieving the target file in the file room is taken as the average process consistency degree corresponding to the retrieval process.

[0035] a difference between the average process consistency degree of all archive retrieval processes of each person and the average process consistency degree of each archive retrieval process as a whole consistency degree deviation of each archive retrieval process; a standard deviation of the average process consistency degree of all archive retrieval processes of each person as a corresponding retrieval habit stability; determining a deviation score of each archive retrieval process according to a product between the retrieval habit stability and the whole consistency degree deviation;

[0036] determining a behavior contribution degree of each archive retrieval process according to a negative correlation mapping between a ratio between the deviation score and the average process consistency degree of each archive retrieval process.

[0037] Further, the process of obtaining the archive retrieval abnormal process includes:

[0038] an archive retrieval process with an abnormality possibility greater than a preset abnormality threshold as the archive retrieval abnormal process.

[0039] Further, the process of performing archive management information visualization processing according to the archive retrieval abnormal process includes:

[0040] separately displaying the archive retrieval record of the archive retrieval abnormal process in the visualization page.

[0041] Further, the path search algorithm adopts the A-star algorithm.

[0042] In a second aspect, the present application provides a visualization platform and entity archive management system data fusion system, the system includes:

[0043] a data acquisition preprocessing module, configured to acquire, in an archive room overhead node graph, an archive retrieval travel path corresponding to each archive retrieval process of each person when retrieving a target archive in an archive room; wherein the archive retrieval travel path includes at least two archive observation road segments;

[0044] a path behavior coding module, configured to determine, on the archive retrieval travel path corresponding to each archive retrieval process, according to a similar situation between each archive observation road segment and a historical observation road segment on the corresponding archive observation road segment when retrieving an archive according to historical data, a corresponding archive retrieval possibility; and determine a path behavior coding sequence of the archive retrieval travel path according to a path optimization condition of the archive retrieval travel path and the archive retrieval possibility of each archive observation road segment.

[0045] The archive management information visualization processing module is configured to determine the abnormality possibility of each archive retrieval process according to the similarity and overall deviation between each archive retrieval process and each archive retrieval process in the historical data in the path behavior coding sequence; screen out an abnormal archive retrieval process according to the abnormality possibility; and perform archive management information visualization processing according to the abnormal archive retrieval process.

[0046] In a third aspect, the present application provides a computer device, comprising a memory and a processor. The memory is configured to store computer program code, and the processor is configured to call and run the computer program code from the memory to execute the method of the first aspect or any embodiment of the first aspect of the present application.

[0047] In a fourth aspect, the present application provides a computer program product, comprising computer program code, which, when executed, performs the method of the first aspect or any embodiment of the first aspect of the present application.

[0048] In a fifth aspect, the present application provides a computer-readable storage medium, which stores computer program code, which, when executed, performs the method of the first aspect or any embodiment of the first aspect of the present application.

[0049] The present application has the following beneficial effects:

[0050] The present application first analyzes the similarity between the path behavior of the historical data in the archive observation section when retrieving the archive and the path behavior of each archive retrieval process in the archive observation section to determine the archive retrieval possibility of the archive retrieval behavior; then, based on the archive retrieval possibility, the path behavior coding sequence obtained by coding quantifies the behavior information of each archive retrieval process more accurately; thereby, the overall deviation between the archive retrieval process and the historical data is combined in the dimension of the archive retrieval habit to determine the abnormality possibility of each archive retrieval process; the archive retrieval abnormal process screened out based on the abnormality possibility is more accurate, and the accuracy of the corresponding archive management information visualization processing is higher, thereby improving the efficiency of tracing when the archive problem occurs. BRIEF DESCRIPTION OF DRAWINGS

[0051] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0052] Figure 1A flow chart of a data fusion method of a visualization platform and entity archive management system according to an embodiment of the present application;

[0053] Figure 2 A schematic diagram of an archive room overview node graph according to an embodiment of the present application;

[0054] Figure 3 A structural diagram of a data fusion system of a visualization platform and entity archive management system according to an embodiment of the present application;

[0055] Figure 4 A structural diagram of a computer device according to an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to further clarify the technical means and effects taken by the present application to achieve the predetermined purposes, the following describes the specific embodiments, structures, features and effects of the data fusion method of the visualization platform and entity archive management system according to the present application in detail with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment, and the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form. In addition, the terms "first", "second" are only used for description purposes and cannot be understood as implying or suggesting relative importance or implicitly indicating the number of technical features indicated. Therefore, the features with "first", "second" can be explicitly or implicitly included one or more features.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0058] The specific scheme of the data fusion method of the visualization platform and entity archive management system according to the present application is described in detail below with reference to the accompanying drawings.

[0059] The present application provides a data fusion method of a visualization platform and entity archive management system, please refer to Figure 1 which shows a flow chart of a data fusion method of a visualization platform and entity archive management system according to an embodiment of the present application, the method comprises:

[0060] Step S101: In the archive room overview node graph, collect the archive retrieval path corresponding to each archive retrieval process of each personnel when retrieving target archives in the archive room; wherein the archive retrieval path comprises at least two archive observation sections.

[0061] On each side of the file cabinet, every 1 meter, a four-channel RFID reader is fixed, the antenna presents a 45-degree cross layout to ensure 360-degree no dead angle identification; and then based on the position of the file cabinet, the four-channel RFID reader is connected as a node, the nodes with a connection distance less than a preset connection distance, and the connection between the nodes does not pass through the file cabinet; in one specific implementation manner of the embodiment of the application, the preset connection distance is set to 1.2 meters, to connect the four-channel RFID readers at adjacent positions as much as possible, which can be adjusted by itself, but needs to ensure that the preset connection distance is greater than the distance between adjacent file cabinets, so that the nodes at the corresponding positions of the file cabinets are connected to each other, and after the connection is completed, the file room overhead node graph required by the embodiment of the application is obtained, and the corresponding static data of the file management is preliminarily fused through the file room overhead node graph. Please refer to Figure 2 which shows a file room overhead node graph provided by one embodiment of the application; in the file room overhead node graph, in order to make all nodes correspond to a whole, a four-channel RFID reader is installed on both sides of the position at both ends of the file cabinet, so that the nodes between different file cabinets are connected to each other, thereby determining a more accurate file retrieval travel path.

[0062] In addition, each personnel is equipped with an RFID badge when retrieving the file, the personnel information is recorded, the real-time position information of each personnel is detected through the detected RFID badge, and the corresponding file retrieval travel path of each file retrieval process when each personnel retrieves the target file in the file room is determined according to the real-time collected position information; that is, the dynamic data in the file management process is fused here; the dynamic data and the static data are combined for analysis, thereby more clearly performing file management information visualization processing.

[0063] In one specific implementation manner of the embodiment of the application, the sampling frequency of the four-channel RFID reader is set to be detected once every 3 seconds, the file retrieval process refers to the process from the start of the personnel entering the file cabinet to the personnel leaving the file cabinet after taking the target file; and on the file retrieval travel path, each four-channel RFID reader is taken as a spacing point, and the file retrieval travel path is divided into each file observation section; that is, the file retrieval travel path in the embodiment of the application is composed of a plurality of file observation sections. Among them, the target file refers to the file needed to be retrieved by the personnel, which is collected through the information registered before the file is retrieved; and the target file in the embodiment of the application refers to a specific file, that is, the subsequent analysis process is based on the analysis of the file specified by the target file.

[0064] It should be noted that there is only one file in the four-channel RFID reader adjacent to the file shelf channel, that is, there is at most one file in each file observation section, and the installation distance of the corresponding four-channel RFID reader can be adjusted according to the specific implementation environment; and for the file observation section, as long as the four-channel RFID readers on both sides of the two file observation sections are the same, the corresponding two file observation sections are the same file observation section, and the sampling frequency of the four-channel RFID reader can be adjusted according to the specific implementation environment.

[0065] In addition, it should be noted that since the file observation section only represents the connection between adjacent four-channel RFID readers, and the position of the personnel may not coincide with the connection, for example, when the personnel are in the rectangular area surrounded by the four four-channel RFID readers in the rectangular area, it is not possible to determine which file observation section they belong to; therefore, the embodiment of the application takes the file observation section closest to the position of the personnel as the file observation section of the corresponding position, so that the file observation section where the personnel are located can be obtained when the personnel are in any position in the file room bird's eye view node diagram. Figure 2

[0066] Step S102: On the file retrieval path corresponding to each file retrieval process, according to the similar situation between the behavior of each file observation section and the historical observation section when the file is retrieved on the corresponding file observation section, the file retrieval possibility is determined; according to the path optimization condition of the file retrieval path and the file retrieval possibility of each file observation section, the path behavior code sequence of the file retrieval path is determined.

[0067] Considering that the retrieval file abnormal process determined only by whether the file retrieval is correct has high limitation, the application specifically analyzes the behavior of each personnel in the process of retrieving the target file, and screens out more accurate retrieval file abnormal processes through the behavior. In each file retrieval process, in addition to the corresponding behavior of the travel trajectory, there may also be file retrieval behavior or long-time file observation behavior of the user; such behavior usually corresponds to the behavior characteristics of the user forgetting the location of the target file or the behavior characteristics of the user intentionally taking other files; therefore, in order to more accurately analyze the path behavior characteristics of each file retrieval process, it is further necessary to analyze the possible retrieval behavior or observation behavior.

[0068] Preferably, in some possible implementation manners of the embodiment of the application, the retrieval possibility obtaining process comprises:

[0069] ​Taking the lower left corner of the archive room top-down thumbnail as the origin, and taking the horizontal right direction as the x-axis direction and the vertical upward direction as the y-axis direction to construct a rectangular coordinate system; convert the rectangular coordinate system into a polar coordinate system. By constructing the polar coordinate system, it is more convenient and more intuitive to quantify the similarity between the subsequent trajectory information.

[0070] In each archive retrieval process on the corresponding archive retrieval travel path, the polar angle of each archive observation section in the polar coordinate system at all sampling times is arranged in time sequence to obtain the corresponding travel polar angle sequence; the polar radius of each archive observation section in the polar coordinate system at all sampling times is arranged in time sequence to obtain the corresponding travel polar radius sequence. The travel polar angle and the travel polar radius can both represent the real-time position information of the personnel, so that the results obtained by subsequent trajectory similarity analysis based on the travel polar angle sequence and the travel polar radius sequence can more accurately represent the similarity of the path behavior.

[0071] Each archive retrieval process of each personnel when retrieving the target archive is sequentially taken as a target retrieval process; each archive observation section in the target retrieval process is taken as a target observation section; in the historical data of all personnel, all archive retrieval processes that perform archive retrieval operations on the road section corresponding to the target observation section are taken as reference retrieval processes. The historical data is data obtained in advance, and the reference retrieval process can reflect the archive retrieval process when the archive in the target observation section is retrieved; therefore, the more similar the trajectory of the target retrieval process in the target observation section is to the trajectory of the reference retrieval process in the target observation section, the more likely it is that the target retrieval process in the target observation section produces a real archive retrieval behavior or a long-time observation of the archive that causes similar characteristics to the archive retrieval behavior. It should be noted that long-time observation of the archive usually corresponds to the personnel forgetting the location of the target archive that needs to be retrieved, resulting in the need to check whether other archives are the target archive, i.e., the behavior of the corresponding personnel after retrieving the corresponding archive.

[0072] In the target observation section, according to the similarity between the target retrieval process and each reference retrieval process in the corresponding travel polar angle sequence, travel polar radius sequence and travel time length, the reference similarity between the target retrieval process and each reference retrieval process in the target observation section is determined; specifically, the process of obtaining the reference similarity includes:

[0073] Based on the dynamic time warping algorithm, the DTW distance between the polar angle sequence of the target observation road section in the target call process and the corresponding polar angle sequence in the reference call process is negatively correlated, and the corresponding polar angle sequence similarity is obtained. The DTW distance between the polar radius sequence of the target observation road section in the target call process and the corresponding polar radius sequence in the reference call process is negatively correlated, and the corresponding polar radius sequence similarity is obtained. The difference between the total number of sampling time points of the target observation road section in the target call process and the total number of sampling time points in the reference call process is obtained, and the corresponding time length similarity is obtained. According to the normalized value of the mean value between the polar angle sequence similarity, the polar radius sequence similarity and the time length similarity, the corresponding reference similarity is determined.

[0074] Based on the principle of the dynamic time warping algorithm, the greater the polar angle sequence similarity and the greater the polar radius sequence similarity, the more similar the trajectory behavior of the target observation road section in the target call process and the trajectory behavior in the reference call process, and the more likely the corresponding target observation road section corresponds to the reference call process. In addition, the time length similarity represents the behavior similarity of the target call process and the reference call process in the target observation road section in the time dimension. The more similar the time spent by the corresponding target call process in the target observation road section and the time spent by the reference call process in the target observation road section, that is, the more similar the total number of sampling time points, the higher the trajectory behavior similarity. Therefore, finally, the mean value of the polar angle sequence similarity, the polar radius sequence similarity and the time length similarity are combined to represent the reference similarity.

[0075] In one specific implementation of the embodiment of the application, the negative correlation mapping method of the DTW distance is the reciprocal of the exponential function with a natural constant as the base, and the negative correlation mapping method of the DTW distance in the subsequent process is the same as this, which can be adjusted according to the specific implementation environment, for example, the DTW distance is linearly normalized, and the DTW distance is negatively correlated by subtracting 1 from the DTW distance, which will not be described further. It should be noted that the difference in the present application represents the absolute value of the difference, and the dynamic time warping algorithm is a known technical means for those skilled in the art. According to the dynamic time warping algorithm, the smaller the DTW distance between two sequences, the more similar the two sequences are, which will not be further limited and described. The reference similarity is represented by the formula as follows: ; Wherein, is the reference similarity between the target call process and the reference call process ; is the polar angle sequence of the target observation road section in the target call process and the corresponding polar angle sequence in the reference call process The DTW distance between the corresponding travel polar angle sequences in ; For the target observation section in the target retrieval process The traveling radius sequence in the reference retrieval process The DTW distance between the corresponding travel path sequences in ; is an exponential function with a natural constant as its base; Retrieve process for target Reference retrieval process The polar angle sequence similarity between them; Retrieve process for target Reference retrieval process The similarity of the polar sequence between ; For the target observation section in the target retrieval process The total number of sampling moments in ; Reference retrieval process The total number of sampling moments in ; is the absolute value symbol; Retrieve process for target Reference retrieval process The similarity of the time length between them; is a linear normalization function.

[0076] According to the numerical distribution of the reference similarities corresponding to the target retrieval process, the possibility of file transfer on the target observation section corresponding to the target retrieval process is determined; in a specific implementation method of an embodiment of the present invention, according to the numerical distribution of the reference similarities corresponding to the target retrieval process, the process of determining the possibility of file transfer on the target observation section corresponding to the target retrieval process includes: taking the maximum value of the reference similarities corresponding to the target retrieval process as the possibility of file transfer on the target observation section on the file retrieval path corresponding to the target retrieval process. Since each reference retrieval process is a process of performing a file retrieval operation on the section corresponding to the target observation section, the maximum value of the reference similarity can better reflect the proximity of the target retrieval process in the file retrieval operation, thereby avoiding the influence of accidental data.

[0077] Further, the behavior of the archiving behavior of the archive observation section can be determined based on the archiving possibility; and in the archiving behavior, further division is needed. Under normal circumstances, the personnel who need to retrieve the target archive usually directly target the target archive and proceed after entering the archive room for efficiency considerations; if the archive retrieval path corresponding to the personnel has a possible detour behavior, the archive retrieval path should be divided into a possible detour behavior for analysis, and therefore, when the trajectory behavior of each archive retrieval process is dataized, the path optimization condition of the archive retrieval path needs to be analyzed to specifically divide the archive observation section corresponding to the possible detour behavior and the archive observation section corresponding to the behavior without detour.

[0078] Preferably, in some possible implementation manners of the embodiments of the present application, the acquisition process of the path behavior coding sequence comprises:

[0079] The optimal path of each archive retrieval process of each personnel when retrieving the target archive is determined by a path search algorithm; in a specific implementation manner of the embodiments of the present application, the path search algorithm is A-star algorithm, and specifically, the entrance of the archive room is taken as the starting point, the archive observation section where the target archive is located is taken as the end point, and the path search is performed along the archive observation section to obtain the corresponding optimal path. It should be noted that the implementer can adjust the path search algorithm according to the specific implementation environment, for example, D-star algorithm, which will not be described further herein.

[0080] The archive observation section corresponding to the overlapping part between the archive retrieval path and the optimal path in each archive retrieval process of each personnel when retrieving the target archive is taken as the optimal travel section; the archive observation section with an archiving possibility greater than a preset possibility threshold is taken as the archive retrieval section; and the other archive observation sections outside the optimal travel section and the archive retrieval section are taken as the suspected detour section. The archiving possibility represents the possibility of the archiving behavior or the long-time archive observation behavior, and therefore, the archive retrieval section where the archive retrieval or observation may occur is screened out by the threshold; in a specific implementation manner of the embodiments of the present application, the preset possibility threshold is set to 0.6, which can be adjusted according to the specific implementation environment, and will not be described further herein. Since the value range of the archiving possibility is limited to 0 to 1, according to the normalization principle, the closer the value of the archiving possibility is to 1, the more likely the archive retrieval section is, and therefore, the archive observation section with a higher archiving possibility, i.e., the section where the archiving behavior or the long-time archive observation behavior occurs, is screened out by taking 0.6 as the threshold.

[0081] The optimal path represents the optimal path that the corresponding personnel will travel when retrieving the target file, and after retrieving the target file, the return path is usually the same as the optimal path; for each personnel, if the corresponding file retrieval travel path when retrieving the target file does not coincide with the optimal path, then the non-coincidence file observation section has a certain possibility of detour, in order to distinguish different path behaviors; further, the amplitudes of different section parameters are set for different behavior sections, specifically: the section code of the optimal travel section is set as a preset optimal section parameter; the section code of the file retrieval section is set as a preset file retrieval section parameter; the section code of the suspected detour section is set as a preset detour section parameter; finally, the section codes of each file observation section in the file retrieval travel path corresponding to each file retrieval process of each personnel when retrieving the target file in the file room are arranged in sequence according to the path order to obtain a path behavior code sequence. In one specific implementation manner of the embodiment of the application, the preset optimal section parameter is set as 1, the preset file retrieval section parameter is set as 2, and the preset detour section parameter is set as 0, which can be adjusted according to the specific implementation environment.

[0082] The path behavior on the file retrieval travel path of each file retrieval process is dataized through the path behavior code sequence, so that subsequent introduction of file retrieval process behavior habits can be combined with data for comparative analysis, thereby screening out more accurate file retrieval abnormal processes. In addition, it should be noted that although the optimal path is different from the best travel path imagined by different personnel, the optimal path when retrieving the same target file in the present application is the same, which provides a path standard when determining the path behavior code sequence, so that the obtained path behavior code is more distinguishable for different file retrieval processes, rather than only screening out file retrieval abnormal processes that do not coincide with the optimal path standard.

[0083] Step S103: determining the abnormality possibility of each file retrieval process according to the similarity and overall deviation between each file retrieval process and the historical data of each file retrieval process in the path behavior code sequence of each personnel; screening out file retrieval abnormal processes according to the abnormality possibility; and performing file management information visualization processing according to the file retrieval abnormal processes.

[0084] For each person, they usually form a certain path behavior habit when selecting the same target file. If in a certain file retrieval process, the path behavior of the corresponding person's file retrieval process is greatly different from the path behavior of other file retrieval processes in the historical data, then it means that the corresponding file retrieval process may have certain problems, and the possibility of it being an abnormal file retrieval process is higher; and the path behavior habit is characterized by the consistency of the path behavior. Therefore, the abnormal possibility of each file retrieval process is further determined based on the similarity and overall deviation in the path behavior coding sequence between each person in each file retrieval process and each file retrieval process in the historical data.

[0085] Preferably, in some possible implementations of the embodiments of the present invention, the process of obtaining the abnormality possibility includes:

[0086] The DTW distance between the path behavior coding sequence corresponding to each file retrieval process of each personnel in the archive room and the path behavior coding sequence corresponding to each other file retrieval process is negatively correlated to determine the consistency of the corresponding retrieval process; based on the overall similarity of the retrieval process consistency between each file retrieval process and other file retrieval processes, the behavioral contribution of each file retrieval process is determined; specifically, the process of obtaining the behavioral contribution includes:

[0087] The mean of all retrieval process consistencies corresponding to each file retrieval process when each person retrieves the target file in the archives is taken as the corresponding average process consistency. For each file retrieval process, the larger the mean of the consistency between it and all other file retrieval processes, the more the corresponding file retrieval process conforms to the habit of the corresponding person in retrieving the target file, and the more this file retrieval process can reflect the path behavior habit of the corresponding person in retrieving the target file, the stronger the corresponding behavior contribution. In a specific implementation of an embodiment of the present invention, the process of obtaining the average process consistency is expressed by the formula: ;in, For personnel When retrieving the target file from the archives The average process consistency of the archive retrieval process; For personnel When retrieving the target file from the archives The corresponding path behavior coding sequence in the process of file retrieval and the other The DTW distance between the corresponding path behavior coding sequences in the process of file retrieval; is an exponential function with a natural constant as its base; For personnel When retrieving the target file from the archives The file retrieval process and other The consistency of the retrieval process between the individual file retrieval processes.

[0088] The difference between the mean of the average process consistency of all file retrieval processes of each person and the average process consistency of each file retrieval process is taken as the overall consistency deviation of each file retrieval process; the standard deviation of the average process consistency of all file retrieval processes of each person is taken as the corresponding retrieval habit stability; the deviation score of each file retrieval process is determined based on the product of the retrieval habit stability and the overall consistency deviation.

[0089] First, with regard to the stability of retrieval habits and the overall consistency deviation for obtaining deviation scores, if the average process consistency of the corresponding file retrieval process is closer to the mean of the average process consistency of all file retrieval processes of the person, and the standard deviation of the average process consistency of all file retrieval processes is smaller, then it means that the similarity of the file retrieval process and the retrieval processes in the historical data, that is, the behavioral habits are relatively similar, and the path behavioral characteristics of the file retrieval process of the corresponding person when retrieving the target file are highly similar. At this time, the behavioral habits represented by the corresponding file retrieval process are more accurate, and the corresponding behavioral contribution is greater; therefore, the larger the deviation score, the smaller the behavioral contribution.

[0090] Further, according to the correlation, negative correlation mapping is performed based on the ratio between the deviation score and the average process consistency of each file retrieval process to determine the behavioral contribution of each file retrieval process, and the negative correlation mapping method here is the same as the method of negative correlation mapping of the DTW distance in the embodiment of the present invention, and will not be further elaborated here. In addition, it should be noted that in order to ensure that the calculation results are meaningful, when the embodiment of the present invention performs fractional operations, when the denominator is 0, a parameter adjustment factor greater than 0 is added to the denominator to prevent the denominator from being 0. The value of the parameter adjustment factor is set by the implementer according to the actual situation, and this application does not impose any special restrictions.

[0091] In a specific implementation of the embodiment of the present invention, the process of obtaining the overall consistency deviation is expressed by the formula: ;in, For personnel When retrieving the target file from the archives The overall consistency deviation of the archive retrieval process; For personnel When retrieving the target file from the archives The average process consistency of the archive retrieval process; For personnel The average of the average process consistency of all archive retrieval processes when the target archive is retrieved in the archive room; The absolute value symbol. The process of obtaining the behavior contribution degree is expressed by the formula: ; wherein, The personnel The behavior contribution degree of the first archive retrieval process when the target archive is retrieved in the archive room; The personnel The standard deviation of the average process consistency of all archive retrieval processes when the target archive is retrieved in the archive room, that is, the stability of retrieval habits; The personnel The overall consistency deviation of the first archive retrieval process when the target archive is retrieved in the archive room; The personnel The average process consistency of the first archive retrieval process when the target archive is retrieved in the archive room.

[0092] The other archive retrieval processes of each personnel when the target archive is retrieved in the archive room are taken as the comparative retrieval processes; the behavior contribution degree of each personnel in each comparative retrieval process is counted; the cumulative value of the behavior contribution degree of each personnel in all comparative retrieval processes is taken as the overall contribution degree of each personnel; the retrieval process consistency between the target retrieval process and each comparative retrieval process is taken as the comparative consistency of each comparative retrieval process; the product between the behavior contribution degree and the comparative consistency of each comparative retrieval process is taken as the comparative contribution degree of each comparative retrieval process; the cumulative value of the comparative contribution degree of each personnel in all comparative retrieval processes is taken as the reference contribution degree.

[0093] The overall contribution degree here is taken as the denominator, which only limits the value of the reference contribution degree, so that the value of the abnormality possibility obtained is more reasonable, and therefore the calculation significance is not further analyzed. For the reference contribution degree, the greater the comparison contribution degree of each comparison calling process, the greater the reference degree of the comparison calling process in reflecting the behavior habit of calling the target archive, that is, the higher the credibility of the calling process consistency and the comparison consistency between the target calling process and the comparison calling process, and the more the calling operation of the target calling process conforms to the behavior habit of calling the target archive by the corresponding personnel. Finally, the comparison contribution degrees in all comparison calling processes are combined by the accumulation method, so that the greater the reference contribution degree obtained, the more the path behavior characteristics of the archive calling process conform to the behavior habit of calling the target archive by the corresponding personnel, and the smaller the abnormality possibility. Therefore, the abnormality possibility of the target calling process corresponding to each personnel is determined according to the negative correlation mapping value of the ratio between the reference contribution degree and the overall contribution degree, so that the greater the abnormality possibility, the more abnormal the corresponding archive calling process. In one specific implementation manner of the embodiment of the application, the method of obtaining the abnormality possibility by negative correlation mapping here is the same as the method of negatively correlating the DTW distance in the embodiment of the application, and therefore is not further described here.

[0094] In one specific implementation manner of the embodiment of the application, the abnormality possibility obtaining process is expressed by a formula as follows: ; wherein, is the abnormality possibility of the personnel in the first archive calling process when calling the target archive in the archive room; is the behavior contribution degree of the personnel in the first archive calling process corresponding to the first comparison calling process when calling the target archive in the archive room; is the overall contribution degree of the personnel in the first archive calling process when calling the target archive in the archive room; is the comparison consistency of the personnel in the first archive calling process corresponding to the first comparison calling process when calling the target archive in the archive room, that is, the calling process consistency between the first archive calling process and the first comparison calling process when calling the target archive in the archive room; is the comparison contribution degree of the personnel in the first archive calling process corresponding to the first comparison calling process when calling the target archive in the archive room. a contrast contribution degree of the contrast calling process; for personnel a reference contribution degree of the first archive calling process when calling the target archive in the archive room; a reference contribution degree of the first archive calling process when calling the target archive in the archive room; for an exponential function with a natural constant as a base.

[0095] After determining the abnormality possibility of the archive calling process, further screening of the archive calling abnormality process is performed. In one specific implementation manner of the embodiment of the present application, the obtaining process of the archive calling abnormality process comprises: taking the archive calling process with the abnormality possibility greater than a preset abnormality threshold as the archive calling abnormality process; wherein the preset abnormality threshold is set as 0.7, which can be adjusted according to the specific implementation environment, and will not be further described herein. In the process of performing the negative correlation mapping by using the function, since the value of the negative correlation mapping must be greater than 0, the value range of the obtained abnormality possibility is limited within 0 to 1, and the greater the abnormality possibility is, the more abnormal the corresponding archive calling process is, therefore, the threshold is set as 0.7, so that the abnormality degree of the screened archive calling abnormality process is greater, and the obtained archive calling abnormality process is more accurate.

[0096] After screening the archive calling abnormality process, in order to make the archive management information visual processing more intuitive, in one specific implementation manner of the embodiment of the present application, the archive calling record of the archive calling abnormality process is separately displayed in the visual page, so that the archive administrator can respond in time when the archive calling abnormality process occurs, and the problem of archive calling abnormality can be avoided.

[0097] In another specific implementation manner of the embodiment of the present application, all archive calling abnormality processes when all personnel call all archives in the archive room are counted, and the occurrence frequency of the archive calling abnormality process of each personnel in each month is counted, and a line chart is constructed for display, so as to determine whether there is a problem personnel, which will not be further described herein.

[0098] ​To sum up, the data fusion method for the visualization platform and the entity archive management system firstly analyzes the similarity between the path behavior of the historical data when calling the archives on the archive observation road section and the path behavior of each archive calling process on the archive observation road section, and determines the archive calling possibility; then, based on the archive calling possibility, the path behavior coding sequence obtained by coding is more accurate to quantify the behavior information of each archive calling process; thus, the overall deviation between the archive calling process and the historical data in the dimension of the archive calling habit is combined to determine the abnormal possibility of each archive calling process; the archive calling abnormal process screened based on the abnormal possibility is more accurate, and the accuracy of the archive management information visualization processing is higher, thereby improving the efficiency of tracing when the archive problem occurs.

[0099] The application also provides a data fusion system for a visualization platform and an entity archive management system, please refer to Figure 3 which shows the structure diagram of a data fusion system for a visualization platform and an entity archive management system provided by an embodiment of the application, and the system comprises a data acquisition and preprocessing module 301, a path behavior coding module 302 and an archive management information visualization processing module 303.

[0100] The data acquisition and preprocessing module 301 is used for acquiring the archive calling travel path corresponding to each archive calling process of each personnel when calling the target archive in the archive room in the archive room overhead node graph; wherein the archive calling travel path comprises at least two archive observation road sections;

[0101] The path behavior coding module 302 is used for determining the corresponding archive calling possibility according to the similarity between each archive observation road section and the historical observation road section of the historical data when calling the archive on the corresponding archive observation road section on the archive calling travel path corresponding to each archive calling process; and determining the path behavior coding sequence of the archive calling travel path according to the path optimization condition of the archive calling travel path and the archive calling possibility of each archive observation road section.

[0102] The archive management information visualization processing module 303 is used for determining the abnormal possibility of each archive calling process according to the similarity and the overall deviation between each archive calling process of each personnel and each archive calling process in the historical data on the path behavior coding sequence; screening the archive calling abnormal process according to the abnormal possibility; and performing the archive management information visualization processing according to the archive calling abnormal process.

[0103] It should be noted that the system provided by the above embodiment is only exemplified by the division of the above functional modules, and in actual application, the above functions can be completed by different functional modules according to needs, that is, the internal structure of the computer device is divided into different functional modules to complete all or part of the functions described above. In addition, the data fusion system for the visualization platform and the entity archive management system and the data fusion method for the visualization platform and the entity archive management system provided by the above embodiment belong to the same concept, and the specific implementation process is described in the method embodiment, which will not be described here.

[0104] The embodiment of the present application further provides a computer device, please refer to Figure 4 which shows a computer device structure schematic diagram provided by an embodiment of the present application, the computer device includes memory 401, processor 402 and computer program 403 stored in the memory 401 and running on the processor 402, wherein the processor 402 executes the computer program 403, so that the computer device can execute any one of the foregoing visualization platform and entity archive management system data fusion method.

[0105] The embodiment of the present application further provides a computer program product, when the computer program product runs on the computer device, so that the computer device can execute any one of the foregoing visualization platform and entity archive management system data fusion method.

[0106] The embodiment of the present application further provides a computer readable storage medium, the computer readable storage medium stores computer program code, when the computer program code runs on the computer device, so that the computer device can execute any one of the foregoing visualization platform and entity archive management system data fusion method.

[0107] In the embodiments provided in the present application, it should be understood that the computer device, computer program product and computer readable storage medium provided are all used to execute the corresponding method provided above, so the beneficial effects that can be achieved are referred to the beneficial effects of the method provided above, which will not be described here.

[0108] It should be noted that the above-mentioned embodiment of the present application is only for description, and does not represent the advantages and disadvantages of the embodiment. The processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0109] Each embodiment in the specification is described in a progressive manner, and the same and similar parts between each embodiment can be referred to each other, and each embodiment mainly describes the difference from other embodiments.

Claims

1. A data fusion method for a visualization platform and entity profile management system, characterized in that, The method comprises: In the archive overview node diagram, the archive access path corresponding to each archive access process of each personnel when accessing the target archive in the archive room is collected; wherein the archive access path comprises at least two archive observation road sections; On the archive access path corresponding to each archive access process, the archive access possibility of the corresponding archive observation road section is determined according to the similar situation between each archive observation road section and the historical observation road section in the historical data when accessing the archive on the corresponding archive observation road section; the path behavior coding sequence of the archive access path is determined according to the path optimization condition of the archive access path and the archive access possibility of each archive observation road section; The abnormality possibility of each archive access process is determined according to the similar situation between each archive access process and each archive access process in the historical data on the path behavior coding sequence and the overall deviation condition; the archive access abnormal process is screened out according to the abnormality possibility; the archive management information visualization processing is performed according to the archive access abnormal process; The archive access possibility acquisition process comprises: The lower left corner of the archive overview thumbnail is taken as the origin, the horizontal right direction is taken as the x-axis direction, and the vertical upward direction is taken as the y-axis direction to construct a rectangular coordinate system; the rectangular coordinate system is converted into a polar coordinate system; in each archive access process on the corresponding archive access path, the polar angle of each archive observation road section in the polar coordinate system at all sampling time points is arranged in time sequence to obtain the corresponding travel polar angle sequence; the polar radius of each archive observation road section in the polar coordinate system at all sampling time points is arranged in time sequence to obtain the corresponding travel polar radius sequence; Each archive access process of each personnel when accessing the target archive is sequentially taken as a target access process; each archive observation road section in the target access process is taken as a target observation road section; in the historical data of all personnel, all archive access processes in which the target observation road section is accessed are taken as reference access processes; On the target observation road section, the reference similarity between the target access process and each reference access process on the target observation road section is determined according to the similar situation between the target access process and each reference access process in the corresponding travel polar angle sequence, travel polar radius sequence and travel time length; The archive access possibility of the target observation road section corresponding to the target access process is determined according to the numerical distribution of the reference similarity corresponding to the target access process.

2. The data fusion method for a visualization platform and entity archive management system according to claim 1, characterized in that, The reference similarity acquisition process comprises: Based on the dynamic time warping algorithm, the DTW distance between the travel polar angle sequence of the target observation road section in the target access process and the corresponding travel polar angle sequence in the reference access process is negatively correlated to obtain the corresponding polar angle sequence similarity; The DTW distance between the travel polar radius sequence of the target observation road section in the target access process and the corresponding travel polar radius sequence in the reference access process is negatively correlated to obtain the corresponding polar radius sequence similarity; obtaining a difference between a total number of sampling time points of the target observation section in the target calling process and a total number of sampling time points in the reference calling process, to obtain a corresponding time length similarity; determining a corresponding reference similarity according to a normalized value of a mean value among the polar angle sequence similarity, the polar radius sequence similarity, and the time length similarity.

3. The data fusion method of a visualization platform and entity archive management system according to claim 1, characterized in that, The process of determining the file calling possibility on the target observation section in the target calling process according to the numerical distribution of the reference similarity corresponding to the target calling process includes: taking a maximum value of the reference similarity corresponding to the target calling process as the file calling possibility on the target observation section in the file calling travel path corresponding to the target calling process.

4. The data fusion method of a visualization platform and entity archive management system according to claim 1, characterized in that, The process of obtaining the path behavior code sequence includes: determining an optimal path required for calling the file when each person calls the target file through each file calling process by using a path search algorithm; taking a coincident part of the file calling travel path in each file calling process of each person when calling the target file and the optimal path as an optimal travel section, taking a file observation section with a file calling possibility greater than a preset possibility threshold as a file calling section, and taking other file observation sections outside the optimal travel section and the file calling section as suspected detour sections; setting a section code of the optimal travel section as a preset optimal section parameter, setting a section code of the file calling section as a preset file calling section parameter, and setting a section code of the suspected detour section as a preset detour section parameter; arranging section codes of each file observation section in the file calling travel path corresponding to each file calling process of each person when calling the target file in the file room in a path order to obtain a path behavior code sequence.

5. The data fusion method of a visualization platform and entity archive management system according to claim 1, characterized in that, The process of obtaining the abnormal possibility includes: determining a calling process consistency corresponding to each file calling process by performing a negative correlation mapping on a DTW distance between the path behavior code sequence corresponding to each file calling process of each person when calling the target file in the file room and the path behavior code sequence corresponding to each file calling process; determining a behavior contribution degree of each file calling process according to an overall similarity of the calling process consistency between each file calling process and other file calling processes; taking other file calling processes of each person when calling the target file in the file room as comparative calling processes, counting the behavior contribution degree of each person in each comparative calling process, and taking an accumulated value of the behavior contribution degree of each person in all comparative calling processes as an overall contribution degree of each person; taking the calling process consistency between the target calling process and each comparative calling process as a comparative consistency of each comparative calling process, taking a product between the behavior contribution degree and the comparative consistency of each comparative calling process as a comparative contribution degree of each comparative calling process, and taking an accumulated value of the comparative contribution degree of each person in all comparative calling processes as a reference contribution degree; The abnormal possibility of the target retrieval process corresponding to each person is determined according to the negative correlation mapping value of the ratio between the reference contribution and the overall contribution.

6. The data fusion method of a visualization platform and entity archive management system according to claim 5, characterized in that, The process of obtaining the behavior contribution includes: The mean of all retrieval process consistencies corresponding to each file retrieval process when each person retrieves the target file in the archive room is taken as the corresponding average process consistency; The difference between the mean of the average process consistency of all file retrieval processes for each person and the average process consistency of each file retrieval process is used as the overall consistency deviation of each file retrieval process; the standard deviation of the average process consistency of all file retrieval processes for each person is used as the corresponding retrieval habit stability; the deviation score of each file retrieval process is determined based on the product of the retrieval habit stability and the overall consistency deviation; A negative correlation mapping is performed based on the ratio between the deviation score and the average process consistency of each archive retrieval process to determine the behavioral contribution of each archive retrieval process.

7. The data fusion method of a visualization platform and entity archive management system according to claim 1, characterized in that, The acquisition process of the abnormal process of retrieving files includes: The file retrieval process with an abnormal probability greater than the preset abnormality threshold is regarded as an abnormal file retrieval process.

8. The data fusion method of a visualization platform and entity archive management system according to claim 1, characterized in that, The process of visualizing archive management information according to the abnormal process of retrieving archives includes: The archive retrieval records of abnormal archive retrieval processes are displayed separately on the visualization page.

9. The data fusion method of a visualization platform and entity archive management system according to claim 4, characterized in that, The path search algorithm adopts the A-star algorithm.

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