A method and system for fusion archiving of multimodal business data

Abstract

The invention relates to the technical field of information retrieval processing, and discloses a method and system for fusion archiving of multimodal business data. The system comprises a data fusion archiving original parameter acquisition module, a data fusion processing module, and a data archiving processing module; autonomous retrieval of user-side data archiving repository object information is performed based on standard multimodal business fusion parameters, and accurate judgment is made as to whether the user-side data archiving repository object exists, thereby realizing intelligent detection of user-side data archiving repository object information; scientifically preset data archiving repository type constituent folder directory parameters corresponding to different data usage field types are combined with intelligent recognition algorithms and data usage field type text parameters to perform accurate retrieval of constituent folder directory parameters of archive repository types corresponding to multimodal business data, thereby realizing scientific analysis of data archiving repository constituent folder directory parameters in different data usage fields.

Description

Technical Field

[0001] The present invention relates to the technical field of information retrieval processing, and in particular to a method and system for fusion archiving of multi-modal business data. Background Art

[0002] Data fusion is the process of combining, correlating and combining data and information from different sources to generate data of the same type. From the perception layer to the application layer of the Internet of Things, the types and quantities of various information have increased exponentially, and the amount of data that needs to be analyzed has also increased exponentially. At the same time, it also involves the fusion of data between various heterogeneous networks or multiple systems. How to timely mine hidden information and valid data from massive data has brought huge challenges to data processing. Therefore, how to reasonably and effectively integrate, mine and intelligently process massive data is a difficult problem for the Internet of Things. Data archiving means that data will be stored in a directional manner according to data attributes; with the development and application of big data and artificial intelligence, massive data of multimodal services will be generated. Therefore, how to accurately fuse and scientifically archive multimodal business data has become an important issue in digital management. Current data management cannot perform accurate data fusion processing based on the data usage field, nor can it perform data intelligent archiving processing based on the data usage field.

[0003] The Chinese invention patent application with publication number CN105808633A discloses a data archiving method, which executes an archiving script, in which the archived data type, the dependency relationship between data objects and the time condition are defined, and the dependency relationship between the data objects is used to determine the tree data structure; according to the dependency relationship between the data objects, starting from the data object as a leaf node, the data objects that meet the data type and time condition are migrated to the archiving server layer by layer until the data object as the root node is migrated. The method can migrate data objects that meet the data type and time conditions, save the storage space of the business system platform, and the business system platform will not access the historical data in the archiving server when accessing, thereby improving the program operation efficiency. However, the above technical scheme cannot perform personalized data archiving processing based on the data usage field, which reduces the accuracy and quality of data archiving. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In order to solve the problem that the current data management cannot perform accurate data fusion processing based on the data usage field, nor can it perform data intelligent archiving processing based on the data usage field, the above purpose is to accurately collect multimodal business feature parameters and data usage field type parameters, scientifically identify data fusion type keywords in different data usage fields, accurately execute multimodal business feature data fusion operations, accurately determine whether the user-side data archiving repository exists, scientifically search for folder directories composed of data archiving repository types in different data usage fields, independently build a data archiving repository, and efficiently execute multimodal business data archiving operations.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical solution: a method for fusion archiving of multimodal business data, the method comprising the following steps:

[0008] S1. Collect multimodal business feature data and perform data preprocessing to generate standard multimodal business feature data; collect data using field type text data;

[0009] S2, performing keyword recognition processing of multimodal business data fusion type based on the data usage field type text data and data fusion type keyword data corresponding to different data usage field types, and generating specific data fusion type keyword data;

[0010] S3, performing a multimodal service data fusion operation on the standard multimodal service feature data according to the specific data fusion type keyword data to generate standard multimodal service fusion data;

[0011] S4, performing a user-side data archive repository object information search process based on the standard multimodal service fusion data, generating user-side data archive repository object feature search data and performing archive repository object existence result judgment processing, generating user-side data archive repository object existence result judgment data, and directly executing step S6 if the user-side data archive repository object exists;

[0012] S5. When it does not exist, perform a search process on the component folder directory parameters of the multimodal business data archive repository type according to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, and generate specific data archive repository type component folder directory data;

[0013] S6, executing a data archive repository component folder construction operation according to the user-side data archive repository object feature search data or the specific data archive repository type component folder directory data to generate specific data archive repository data;

[0014] S7. Perform a multimodal business data archiving operation according to the specific data archiving repository data and the standard multimodal business fusion data.

[0015] Preferably, the steps of collecting multimodal service feature data and performing data preprocessing to generate standard multimodal service feature data and collecting data using domain type text data are as follows:

[0016] S11. Obtain different types of data online through the data input dialog box and generate multimodal business feature data , the multimodal service feature data includes text feature data, audio feature data, image feature data and video feature data;

[0017] Collect the multimodal service feature data online through a data input dialog box The data uses the text information of the field type and generates data using the field type text data The data usage fields include industrial agriculture, forestry, animal husbandry, fishery, mining, manufacturing, electric power, transportation, construction, education and health;

[0018] S12, using wavelet transform method to transform the multimodal service feature data After data denoising preprocessing, standard multimodal business feature data is generated .

[0019] Preferably, the keyword recognition processing of the multimodal business data fusion type is performed based on the data usage field type text data and the data fusion type keyword data corresponding to different data usage field types, and the operation steps of generating specific data fusion type keyword data are as follows:

[0020] S21. Establish a keyword data set matrix corresponding to different data usage fields and data fusion types , ;in Indicates Different data usage field types corresponding to different data usage field types corresponding to data fusion type keyword data sets, , ; Indicates the keyword data set corresponding to the data fusion type of the different data usage field types Middle Different data usage field types correspond to data fusion type keyword data; Indicates the maximum number of data usage domain types. Indicates the keyword data set corresponding to the data fusion type of the different data usage field types The maximum value of the number of data fusion type keyword data corresponding to different data usage field types; the data fusion type keyword data corresponding to different data usage field types represent the classification feature keyword data of data fusion corresponding to different data usage field types; for example, the data fusion type keywords in the agricultural data usage field include crop growth keywords, soil information keywords, climate data keywords, and agricultural policy keywords;

[0021] S22, using the KD tree nearest neighbor search algorithm to convert the data into domain type text data Data fusion type keyword data set matrix corresponding to the different data usage field types The different data usage fields described in the data fusion type correspond to the keyword data set According to the data usage field type character matching, search for the data usage field type text data The corresponding different data usage field types correspond to the data fusion type keyword data set And generate a specific data fusion type keyword data set through data identification ,in Indicates A specific data fusion type keyword data.

[0022] Preferably, the steps of performing a multimodal service data fusion operation on the standard multimodal service feature data according to the specific data fusion type keyword data to generate standard multimodal service fusion data are as follows:

[0023] S31, according to the specific data fusion type keyword data collection Specific data fusion type described in Keyword data to The standard multimodal service characteristic data Perform multimodal business data classification and fusion operations to generate a standard multimodal business fusion data set ,in Indicates the specific data fusion type keyword data Corresponding standard multimodal service fusion data.

[0024] Preferably, based on the standard multimodal service fusion data, a user-side data archive repository object information search process is performed to generate user-side data archive repository object feature search data and perform archive repository object existence result judgment processing to generate user-side data archive repository object existence result judgment data. When the user-side data archive repository object exists, the operation steps of directly executing step S6 are as follows:

[0025] S41, using a depth-restricted search algorithm to fuse the data set according to the standard multimodal service Standard multi-modal service fusion data described in Perform a data archive repository object feature information search operation on the user-side server to search for the standard multimodal service fusion data The characteristic information of data archive repository objects storing the same or similar data, and generating user-side data archive repository object characteristic search data , the user-side data archive repository object feature search data includes the name, storage address, storage space size and data archive repository constituent folder directory data of the data archive repository object;

[0026] S42: Searching for data on the object characteristics of the user-side data archive repository The data characters are judged, and the user-side data archive repository object existence result judgment data is generated based on the data character judgment result ;

[0027] When the user end data archive repository object feature searches for data If it is an empty set, it means that the user end server does not have a storage for storing the standard multimodal service fusion data. The data archive repository of the user-side data archive repository object outputs the result judgment data for not existing;

[0028] When the user end data archive repository object feature searches for data is a non-empty set, indicating that the user-side server has a storage unit for storing the standard multi-modal service fusion data The data archive repository of the user-side data archive repository object outputs the result judgment data If it exists, directly execute step S6.

[0029] Preferably, when it does not exist, the operating steps of performing a multimodal business data archive repository type component folder directory parameter search processing according to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, and generating specific data archive repository type component folder directory data are as follows:

[0030] S51. Establish a folder directory data set matrix corresponding to different data usage domain types and data archive repository types ,in Indicates Different data usage domain types corresponding to the data usage domain types correspond to data archive repository types and form folder directory data sets. , ; Indicates that the different data usage domain types correspond to the data archive repository types and constitute a folder directory data set Middle Different data usage domain types correspond to data archive repository types to form folder directory data; Indicates that the different data usage domain types correspond to the data archive repository types and constitute a folder directory data set The maximum value of the number of folder directory data corresponding to the data archive repository type of different data usage field types; the folder directory data corresponding to the data archive repository type of different data usage field types represents the name and composition structure data of the archive repository folder that matches the fusion data keyword of the different data usage field types;

[0031] S52: When the user-side data archive repository object has result judgment data If it does not exist, the data will be converted to text data of field type The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types described in the corresponding data archive repository types constitute folder directory data collection According to the data usage field type character matching, search for the data usage field type text data The corresponding different data usage domain types correspond to the data archive repository types and constitute the folder directory data set And the data identifier generates a specific data archive repository type to form a folder directory data set , execute to generate specific data archive repository type to form folder directory data set The specific steps are as follows:

[0032] S521. Initialize parameters, update archive repository to identify the number of crow populations, maximum number of iterations, and flight distance ;

[0033] S522, initializing the archive repository to identify the crow individuals in the different data usage domain types corresponding to the data archive repository types to form a folder directory data set matrix The initial position and memory in the search space, Only archive repositories identify crow individuals randomly distributed in a multidimensional search space, i.e. Only archive repositories identify crow individuals randomly distributed in a spatial dimension of The different data usage domain types correspond to data archive repository types and form a folder directory data collection matrix In the search space; in the first iteration, it is assumed that the archive repository recognizes that the crow individual hides the food in the initial position; that is, in the first iteration, it is assumed that the archive repository recognizes that the crow individual uses the domain type text data The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types in the initial position of the search space correspond to the data archive repository types to form a folder directory data set Make a match;

[0034] S523, calculating the individual fitness value of each archive repository to identify the crow, that is, calculating the data usage field type text data The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types in the search space correspond to data archive repository types to form a folder directory data set The fitness value of

[0035] S524, updating the archive repository to identify the crow individuals in the different data usage domain types corresponding to the data archive repository types to form a folder directory data set matrix The position in the search space, the archive repository identifies the individual crow position update formula as follows: ,in Indicates Iteration archive repository to identify individual crows The different data usage domain types correspond to the data archiving repository types to form a folder directory data collection matrix The new position in the search space, Indicates Iteration archive repository to identify individual crows The different data usage domain types correspond to the data archiving repository types to form a folder directory data collection matrix The position in the search space, represents a random number uniformly distributed between

[01] , Indicates Iteration archive repository to identify individual crows The different data usage domain types correspond to the data archiving repository types to form a folder directory data collection matrix The flight distance in the search space, Indicates Iteration archive repository to identify individual crows The different data usage domain types correspond to the data archiving repository types to form a folder directory data collection matrix The food hiding location in the search space, i.e. Iteration archive repository to identify individual crows The different data usage domain types correspond to the data archiving repository types to form a folder directory data set matrix Search the search space to find text data with the data type using the field The different data usage domain types that match each other correspond to the data archive repository type and form a folder directory data set location;

[0036] S525, determine the feasibility of the new position, and determine the feasibility of each archive repository identifying the new position of the crow individual; if the archive repository identifies the new position of the crow individual, it is feasible, and the archive repository identifies the crow individual and updates its position, that is, the different data usage domain types correspond to the data archive repository types to form a folder directory data set matrix Search out text data with the data type using the field The different data usage domain types that match each other correspond to the data archive repository type and form a folder directory data set , the archive repository identifies the crow individual and updates it to the different data that matches successfully. Use the field type corresponding to the data archive repository type to form a folder directory data set location; otherwise, the archive repository identifies the crow individual as staying at the current location and not moving to the new location;

[0037] S526, evaluate the fitness value of the new position, calculate the fitness value of each archive repository to identify the new position of the crow individual, that is, calculate the folder directory data set matrix composed of the data archive repository type corresponding to the different data usage field types The data described in the search space uses domain type text data The data archive storage repository type corresponding to the different data usage domain types of the new location constitutes a folder directory data set The fitness value of

[0038] S527, update memory, if the fitness value of the new position of the crow recognized by the archive repository is greater than the fitness value of the initial position in the memory, the archive repository recognizes that the crow updates its memory through the new position, otherwise it does not update its memory; that is, the standard power generation data set of generators in different scenarios Search out text data with the data type using the field The different data usage domain types with the largest fitness value correspond to the data archive repository type and form a folder directory data set ;

[0039] S528. When the maximum number of iterations is met, output the folder directory data set composed of the data archive repository type corresponding to the different data usage domain types ;

[0040] S529: The different data usage domain types output in step S528 correspond to the data archiving repository types to form a folder directory data set Generate a specific data archive repository type through data identification to form a folder directory data set ,in Indicates Folder directory data is organized into folders for each specific data archive repository type.

[0041] Preferably, the operation steps of performing the data archive repository component folder construction operation according to the user-side data archive repository object feature search data or the specific data archive repository type component folder directory data to generate specific data archive repository data are as follows:

[0042] S61: When the user-side data archive repository object has result judgment data If it does not exist, a folder directory data set is formed according to the specific data archive repository type. The specific data archive repository type described in the folder directory data to Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data ;

[0043] When the user-side data archive repository object exists, the result judgment data If it exists, search for data based on the object characteristics of the user-side data archive repository Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data .

[0044] Preferably, the operation steps of performing the multimodal service data archiving operation according to the specific data archiving repository data and the standard multimodal service fusion data are as follows:

[0045] S71: fusion data set of the standard multimodal service Standard multi-modal service fusion data described in to According to the data fusion type keywords, the data is stored in the specific data archive repository in order. Execute multimodal business data archiving jobs in the folder of the corresponding archive repository.

[0046] A system for fusion archiving of multimodal business data, used to implement the method for fusion archiving of multimodal business data, the system comprising a data fusion archiving original parameter acquisition module, a data fusion processing module, and a data archiving processing module;

[0047] The data fusion archiving original parameter acquisition module includes a multimodal business characteristic parameter acquisition unit, a multimodal business characteristic parameter preprocessing unit, and a data usage field type information acquisition unit;

[0048] The multimodal service characteristic parameter acquisition unit acquires multimodal service characteristic data through a data input dialog box; the multimodal service characteristic parameter preprocessing unit performs data preprocessing on the multimodal service characteristic data to generate standard multimodal service characteristic data; the data usage domain type information acquisition unit acquires data usage domain type text data through a data input dialog box;

[0049] The data fusion processing module includes a data fusion type keyword storage unit corresponding to different data usage field types, a data fusion type keyword identification unit for specific data usage field types, a multimodal business data fusion operation execution unit, and a multimodal business data fusion operation result output unit;

[0050] The data fusion type keyword storage unit corresponding to different data usage field types is used to store data fusion type keyword data corresponding to different data usage field types; the specific data usage field type data fusion type keyword recognition unit performs multimodal business data fusion type keyword recognition processing based on the data usage field type text data and the data fusion type keyword data corresponding to different data usage field types to generate specific data fusion type keyword data; the multimodal business data fusion operation execution unit performs a multimodal business data fusion operation on the standard multimodal business feature data according to the specific data fusion type keyword data to generate standard multimodal business fusion data; the multimodal business data fusion operation result output unit is used to output standard multimodal business fusion data;

[0051] The data archiving processing module includes a user-side data archiving repository search unit, a user-side data archiving repository existence judgment unit, a data archiving repository type composition folder directory storage unit corresponding to different data usage field types, a specific data usage field data archiving repository type composition folder directory search unit, a data archiving repository composition folder construction unit, and a multi-modal business data archiving operation execution unit;

[0052] The user-side data archive repository search unit performs a user-side data archive repository object information search process based on the standard multimodal business fusion data to generate user-side data archive repository object feature search data; the user-side data archive repository existence judgment unit performs an archive repository object existence result judgment process on the user-side data archive repository object feature search data to generate user-side data archive repository object existence result judgment data; the different data usage field types corresponding to the data archive repository type composition folder directory storage unit is used to store the data archive repository type composition folder directory data corresponding to the different data usage field types; the specific data usage field data archive repository type composition folder directory search unit, based on According to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, a multimodal business data archive repository type component folder directory parameter search process is performed to generate specific data archive repository type component folder directory data; the data archive repository component folder construction unit executes a data archive repository component folder construction operation according to the user-end data archive repository object feature search data or the specific data archive repository type component folder directory data to generate specific data archive repository data; the multimodal business data archiving operation execution unit executes a multimodal business data archiving operation according to the specific data archive repository data and the standard multimodal business fusion data.

[0053] (III) Beneficial effects

[0054] The present invention provides a method and system for fusion archiving of multi-modal business data. It has the following beneficial effects:

[0055] 1. Through the cooperation of the multimodal business characteristic parameter collection unit and the multimodal business characteristic parameter preprocessing unit, the data input dialog box is used to accurately collect multimodal business characteristic parameters and perform data preprocessing, scientifically generate standard multimodal business characteristic parameters, and improve the collection reliability of multimodal business data; the data usage field type information collection unit uses the data input dialog box to obtain the data usage field type text parameters online, provide reliable data support for accurate analysis of multimodal business data fusion archiving processing, and improve the efficiency and accuracy of data fusion archiving.

[0056] 2. Through the cooperation of the data fusion type keyword storage unit corresponding to different data usage field types and the data fusion type keyword identification unit of specific data usage field types, the standard preset data fusion type keyword parameters corresponding to different data usage field types are combined with the intelligent search algorithm and the data usage field type text parameters to perform intelligent identification of classified keywords for data fusion, so as to achieve scientific and accurate identification of classified keywords for data fusion of different data usage fields; the multimodal business data fusion operation execution unit accurately executes multimodal business data fusion operations on standard multimodal business feature parameters based on the specific data fusion type keyword parameters, thereby improving the accuracy and efficiency of multimodal business fusion.

[0057] 3. Through the cooperation between the user-side data archive repository search unit and the user-side data archive repository existence judgment unit, the user-side data archive repository object information is autonomously retrieved based on the standard multimodal business fusion parameters, and the existence of the user-side data archive repository object is accurately judged, so as to realize the intelligent detection of the user-side data archive repository object information; the data archive repository type composition folder directory storage unit corresponding to different data usage field types and the specific data usage field data archive repository type composition folder directory search unit cooperate with each other, scientifically preset the data archive repository type composition folder directory parameters corresponding to different data usage field types, and combine the intelligent recognition algorithm with the data usage field type text parameters to accurately retrieve the composition folder directory parameters of the archive repository type corresponding to the multimodal business data, so as to realize the scientific analysis of the data archive repository composition folder directory parameters in different data usage fields; the data archive repository composition folder construction unit and the multimodal business data archiving operation execution unit cooperate with each other, autonomously and scientifically construct the multimodal business data archive repository parameters and efficiently and accurately execute the multimodal business data classification and archiving operations, which improves the intelligence and reliability of the multimodal business data archiving operations and improves the quality and applicability of data processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A module schematic diagram of a system for fusion and archiving of multimodal business data provided by the present invention;

[0059] Figure 2 A flowchart of a method for fusion and archiving of multimodal business data provided by the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] The embodiments of the method and system for fusion archiving of multimodal business data are as follows:

[0062] Embodiment 1:

[0063] See also Figure 1 - Figure 2 , a method for fusion archiving of multimodal business data, the method comprising the following steps:

[0064] S1. Collect multimodal business feature data and perform data preprocessing to generate standard multimodal business feature data; collect data using field type text data;

[0065] S2, performing keyword recognition processing of multimodal business data fusion type based on data usage field type text data and data fusion type keyword data corresponding to different data usage field types, and generating specific data fusion type keyword data;

[0066] S3. Perform a multimodal service data fusion operation on the standard multimodal service feature data according to the specific data fusion type keyword data to generate standard multimodal service fusion data;

[0067] S4, performing a user-side data archive repository object information search process based on the standard multimodal business fusion data, generating user-side data archive repository object feature search data and performing archive repository object existence result judgment processing, generating user-side data archive repository object existence result judgment data, and when the user-side data archive repository object exists, directly executing step S6;

[0068] S5. When it does not exist, perform a search process on the component folder directory parameters of the multimodal business data archive repository type according to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, and generate specific data archive repository type component folder directory data;

[0069] S6, performing a data archive repository composition folder construction operation according to the user-side data archive repository object feature search data or specific data archive repository type composition folder directory data, and generating specific data archive repository data;

[0070] S7. Perform multimodal business data archiving operations based on specific data archiving repository data and standard multimodal business fusion data.

[0071] For further information, see Figure 1 - Figure 2 , collect multimodal business feature data and perform data preprocessing to generate standard multimodal business feature data; the steps for collecting data using domain type text data are as follows:

[0072] S11. Obtain different types of data online through the data input dialog box and generate multimodal business feature data , the multimodal service feature data includes text feature data, audio feature data, image feature data and video feature data;

[0073] Collect multimodal business feature data online through the data input dialog box The data uses the text information of the field type and generates data using the field type text data ,The types of data usage fields include industrial and agricultural fields, forestry fields, animal husbandry fields, fisheries fields, mining fields, manufacturing fields, electric power industries fields, transportation fields, construction industries, education fields, and health fields;

[0074] S12, using wavelet transform method to multimodal business feature data After data denoising preprocessing, standard multimodal business feature data is generated .

[0075] Through the cooperation of the multimodal business characteristic parameter collection unit and the multimodal business characteristic parameter preprocessing unit, the data input dialog box is used to accurately collect multimodal business characteristic parameters and perform data preprocessing, scientifically generate standard multimodal business characteristic parameters, and improve the collection reliability of multimodal business data; the data usage field type information collection unit uses the data input dialog box to obtain the data usage field type text parameters online, providing reliable data support for accurate analysis of multimodal business data fusion and archiving processing, and improving the efficiency and accuracy of data fusion archiving.

[0076] For further information, see Figure 1 - Figure 2 , based on the data usage field type text data and the data fusion type keyword data corresponding to different data usage field types, the keyword recognition processing of the multimodal business data fusion type is performed, and the operation steps for generating specific data fusion type keyword data are as follows:

[0077] S21. Establish a keyword data set matrix corresponding to different data usage fields and data fusion types , ;in Indicates Different data usage field types corresponding to different data usage field types corresponding to data fusion type keyword data sets, , ; Indicates the keyword data set corresponding to the data fusion type for different data usage fields Middle Different data usage field types correspond to data fusion type keyword data; Indicates the maximum number of data usage domain types. Indicates the keyword data set corresponding to the data fusion type for different data usage fields The maximum value of the number of data fusion type keyword data corresponding to different data usage field types; the data fusion type keyword data corresponding to different data usage field types represent the classification feature keyword data of data fusion corresponding to different data usage field types; for example, the data fusion type keywords in the agricultural data usage field include crop growth keywords, soil information keywords, climate data keywords, and agricultural policy keywords;

[0078] S22, using KD tree nearest neighbor search algorithm to use domain type text data Data fusion type keyword data collection matrix corresponding to different data usage fields Different data usage fields correspond to data fusion types and keyword data sets According to the data usage field type character matching, search for data usage field type text data Corresponding different data usage field types Corresponding data fusion types Keyword data collection And generate a specific data fusion type keyword data set through data identification ,in Indicates A specific data fusion type keyword data.

[0079] The steps for performing multimodal business data fusion operation on standard multimodal business feature data according to specific data fusion type keyword data to generate standard multimodal business fusion data are as follows:

[0080] S31. Keyword data collection according to specific data fusion type Specific data fusion type keyword data to Standard multimodal service feature data Perform multimodal business data classification and fusion operations to generate a standard multimodal business fusion data set ,in Indicates the specific data fusion type keyword data Corresponding standard multimodal service fusion data.

[0081] Through the cooperation of the data fusion type keyword storage unit corresponding to different data usage field types and the data fusion type keyword identification unit of specific data usage field types, the standard preset data fusion type keyword parameters corresponding to different data usage field types are combined with the intelligent search algorithm and the data usage field type text parameters to perform intelligent identification of classified keywords for data fusion, so as to achieve scientific and accurate identification of classified keywords for data fusion of different data usage fields; the multimodal business data fusion operation execution unit accurately executes the multimodal business data fusion operation on the standard multimodal business feature parameters based on the specific data fusion type keyword parameters, thereby improving the accuracy and efficiency of multimodal business fusion.

[0082] For further information, see Figure 1 - Figure 2 , based on the standard multimodal business fusion data, perform user-side data archive repository object information search processing, generate user-side data archive repository object feature search data and perform archive repository object existence result judgment processing, generate user-side data archive repository object existence result judgment data, when it exists, directly execute the operation steps of step S6 as follows:

[0083] S41, using the depth-restricted search algorithm based on the standard multimodal service fusion data set Standard multi-modal business fusion data Perform a data archiving repository object feature information search on the user-side server to find data that is integrated with standard multimodal services The characteristic information of data archive repository objects storing the same or similar data, and generating user-side data archive repository object characteristic search data ,The user-side data archive repository object feature search data includes the name of the data archive repository object, the storage address, the storage space size and the data archive repository component folder directory data;

[0084] S42: Searching for data on object characteristics of the user-side data archive repository The data characters are judged, and the user-side data archive repository object existence result judgment data is generated based on the data character judgment result ;

[0085] When the user searches for data in the data archive repository object feature If it is an empty set, it means that the user-side server does not have a storage for standard multimodal service fusion data. The data archive repository of the user-side data archive repository object outputs the result judgment data for not existing;

[0086] When the user searches for data in the data archive repository object feature If it is a non-empty set, it means that the user-side server has a storage unit for storing standard multi-modal service fusion data. The data archive repository of the user-side data archive repository object outputs the result judgment data If it exists, directly execute step S6.

[0087] When it does not exist, perform parameter search processing on the component folder directory of the multimodal business data archive repository type according to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, and generate the specific data archive repository type component folder directory data as follows:

[0088] S51. Establish a folder directory data set matrix corresponding to different data usage domain types and data archive repository types ,in Indicates Different data usage domain types corresponding to the data usage domain types correspond to data archive repository types and form folder directory data sets. , ; Indicates different data usage domain types corresponding to data archive repository types, which constitute folder directory data collections Middle Different data usage domain types correspond to data archive repository types to form folder directory data; Indicates different data usage domain types corresponding to data archive repository types, which constitute folder directory data collections The maximum number of data in the directory of folders and directories of data archive repository types corresponding to different data usage domain types; the directory data of folders and directories of data archive repository types corresponding to different data usage domain types represent the names and structure data of the folders and directories of archive repository components that match the keywords of the fused data of different data usage domain types;

[0089] S52: When the user-side data archive repository object has result judgment data If it does not exist, the data will be converted to text data of field type The data archive repository types corresponding to different data usage domain types are composed of folder directory data collection matrix Different data usage domain types correspond to data archive repository types and form folder directory data collections According to the data usage field type character matching, search for data usage field type text data The corresponding different data usage domain types correspond to the data archive repository types and form folder directory data collections And the data identifier generates a specific data archive repository type to form a folder directory data set , execute to generate specific data archive repository type to form folder directory data set The specific steps are as follows:

[0090] S521. Initialize parameters, update archive repository to identify the number of crow populations, maximum number of iterations, and flight distance ;

[0091] S522, initialize the archive repository to identify the crow individuals in different data usage fields, corresponding to the data archive repository type, and form a folder directory data set matrix The initial position and memory in the search space, Only archive repositories identify crow individuals randomly distributed in a multidimensional search space, i.e. Only archive repositories identify crow individuals randomly distributed in a spatial dimension of Different data usage domain types correspond to data archive repository types to form folder directories and data collection matrices In the search space; in the first iteration, assume that the archive repository recognizes that the crow individual hides the food in the initial location; that is, in the first iteration, assume that the archive repository recognizes that the crow individual uses the domain type text data The data archive repository types corresponding to different data usage domain types are composed of folder directory data collection matrix Different data usage domain types at the initial position of the search space correspond to data archive repository types and form folder directory data collections Make a match;

[0092] S523, calculate the individual fitness value of each archive repository to identify the crow, that is, calculate the data usage field type text data The data archive repository types corresponding to different data usage domain types are composed of folder directory data collection matrix Different data usage domain types in the search space correspond to data archive repository types and form folder directory data collections The fitness value of

[0093] S524, update the archive repository to identify the crow individuals in different data usage fields corresponding to the data archive repository type composition folder directory data set matrix The position in the search space, the archive repository identifies the individual crow position update formula as follows: ,in Indicates Iteration archive repository to identify individual crows The folder directory data collection matrix is ​​composed of data archive repository types corresponding to different data usage fields. The new position in the search space, Indicates Iteration archive repository to identify individual crows The folder directory data collection matrix is ​​composed of data archive repository types corresponding to different data usage fields. The position in the search space, represents a random number uniformly distributed between

[01] , Indicates Iteration archive repository to identify individual crows The folder directory data collection matrix is ​​composed of data archive repository types corresponding to different data usage fields. The flight distance in the search space, Indicates Iteration archive repository to identify individual crows The folder directory data collection matrix is ​​composed of data archive repository types corresponding to different data usage fields. The food hiding location in the search space, i.e. Iteration archive repository to identify individual crows Different data usage domain types correspond to data archive repository types to form folder directory data collection matrix Search space to search for text data using field type The different data usage domain types that match the data archive repository types form folder directory data collections location;

[0094] S525, determine the feasibility of the new position, and determine the feasibility of each archive repository identifying the new position of the crow individual; if the archive repository is feasible to identify the new position of the crow individual, the archive repository will update its position when it identifies the crow individual, that is, the folder directory data set matrix is ​​composed of data archive repository types corresponding to different data usage field types. Search for text data using the data field type The different data usage domain types that match the data archive repository types form folder directory data collections , the archive repository identifies the crow individual and updates it to the different data that matches successfully. Use the field type corresponding to the data archive repository type to form a folder directory data collection location; otherwise, the archive repository identifies the crow individual as staying at the current location and not moving to the new location;

[0095] S526, evaluate the fitness value of the new position, calculate the fitness value of each archive repository to identify the new position of the crow individual, that is, calculate the folder directory data set matrix composed of different data usage field types corresponding to the data archive repository type The data in the search space uses the domain type text data The data archive repository type corresponds to the different data usage domain types in the new location and is composed of folder directory data collection The fitness value of

[0096] S527, update memory, if the fitness value of the new position of the crow recognized by the archive repository is greater than the fitness value of the initial position in the memory, the archive repository recognizes that the crow updates its memory through the new position, otherwise it does not update its memory; that is, the standard power generation data set of generators in different scenarios Search for text data using the data field type Different data usage domain types with the largest fitness values ​​correspond to data archive repository types and form folder directory data sets ;

[0097] S528. When the maximum number of iterations is met, output different data usage domain types corresponding to data archive repository types to form a folder directory data set ;

[0098] S529: The different data usage domain types output in step S528 are corresponding to the data archiving repository types to form a folder directory data set. Generate a specific data archive repository type through data identification to form a folder directory data set ,in Indicates Folder directory data is organized into folders for each specific data archive repository type.

[0099] According to the user-side data archive repository object feature search data or the specific data archive repository type folder directory data, the data archive repository folder construction job is performed to generate specific data archive repository data as follows:

[0100] S61: When the user-side data archive repository object has result judgment data If it does not exist, a folder directory data set is formed according to the specific data archive repository type. Specific data archive repository type composition folder directory data to Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data ;

[0101] When the user-side data archive repository object exists, the result judgment data If it exists, search for data based on the characteristics of the user-side data archive repository object Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data .

[0102] The steps for performing multimodal business data archiving operations based on specific data archiving repository data and standard multimodal business fusion data are as follows:

[0103] S71. Fusion data collection of standard multimodal services Standard multi-modal business fusion data to Store the data in a specific data archive repository in order according to the data fusion type keywords Execute multimodal business data archiving jobs in the folder of the corresponding archive repository.

[0104] Through the cooperation between the user-side data archive repository search unit and the user-side data archive repository existence judgment unit, the user-side data archive repository object information is autonomously retrieved based on the standard multimodal business fusion parameters, and the existence of the user-side data archive repository object is accurately judged, thereby realizing the intelligent detection of the user-side data archive repository object information; the data archive repository type composition folder directory storage unit corresponding to different data usage field types and the specific data usage field data archive repository type composition folder directory search unit cooperate with each other, scientifically preset the data archive repository type composition folder directory parameters corresponding to different data usage field types, and combine the intelligent recognition algorithm with the data usage field type text parameters to accurately retrieve the composition folder directory parameters of the archive repository type corresponding to the multimodal business data, thereby realizing the scientific analysis of the data archive repository composition folder directory parameters of different data usage fields; the data archive repository composition folder construction unit and the multimodal business data archiving operation execution unit cooperate with each other, autonomously and scientifically construct the multimodal business data archive repository parameters and efficiently and accurately execute the multimodal business data classification and archiving operations, thereby improving the intelligence and reliability of the multimodal business data archiving operations, and improving the quality and applicability of data processing.

[0105] Embodiment 2:

[0106] See also Figure 1 - Figure 2 , a system for fusion archiving of multimodal business data, a method for implementing fusion archiving of multimodal business data, the system includes a data fusion archiving original parameter acquisition module, a data fusion processing module, and a data archiving processing module;

[0107] The data fusion archiving original parameter acquisition module includes a multimodal business characteristic parameter acquisition unit, a multimodal business characteristic parameter preprocessing unit, and a data usage field type information acquisition unit;

[0108] A multimodal service characteristic parameter collection unit collects multimodal service characteristic data through a data input dialog box; a multimodal service characteristic parameter preprocessing unit performs data preprocessing on the multimodal service characteristic data to generate standard multimodal service characteristic data; a data usage domain type information collection unit collects data usage domain type text data through a data input dialog box;

[0109] The data fusion processing module includes a data fusion type keyword storage unit corresponding to different data usage field types, a data fusion type keyword recognition unit for specific data usage field types, a multimodal business data fusion operation execution unit, and a multimodal business data fusion operation result output unit;

[0110] A data fusion type keyword storage unit corresponding to different data usage field types is used to store data fusion type keyword data corresponding to different data usage field types; a specific data usage field type data fusion type keyword recognition unit performs multimodal business data fusion type keyword recognition processing based on data usage field type text data and data fusion type keyword data corresponding to different data usage field types to generate specific data fusion type keyword data; a multimodal business data fusion operation execution unit performs a multimodal business data fusion operation on standard multimodal business feature data according to specific data fusion type keyword data to generate standard multimodal business fusion data; a multimodal business data fusion operation result output unit is used to output standard multimodal business fusion data;

[0111] The data archiving processing module includes a user-side data archiving repository search unit, a user-side data archiving repository existence judgment unit, a data archiving repository type composition folder directory storage unit corresponding to different data usage field types, a specific data usage field data archiving repository type composition folder directory search unit, a data archiving repository composition folder building unit, and a multi-modal business data archiving job execution unit;

[0112] The user-side data archive repository search unit performs a user-side data archive repository object information search process based on standard multimodal business fusion data to generate user-side data archive repository object feature search data; the user-side data archive repository existence judgment unit performs archive repository object existence result judgment processing on the user-side data archive repository object feature search data to generate user-side data archive repository object existence result judgment data; a data archive repository type composition folder directory storage unit corresponding to different data usage field types is used to store data of folders that correspond to different data usage field types; a specific data usage field data archive repository type composition folder directory search unit, According to the data usage field type text data and the data archive repository type component folder directory data corresponding to different data usage field types, the component folder directory parameters of the multimodal business data archive repository type are searched and processed to generate specific data archive repository type component folder directory data; the data archive repository component folder construction unit searches for data based on the user-side data archive repository object characteristics or the specific data archive repository type component folder directory data to perform the data archive repository component folder construction operation to generate specific data archive repository data; the multimodal business data archiving operation execution unit executes the multimodal business data archiving operation based on the specific data archive repository data and the standard multimodal business fusion data.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for fusion archiving of multimodal business data, characterized in that: The method comprises the following steps: S1. Collect multimodal service feature data And perform data preprocessing to generate standard multimodal business feature data ;Collect data using field type text data ; S2. Using domain type text data based on the data Perform keyword recognition processing of multimodal business data fusion type with data fusion type keyword data corresponding to different data usage field types to generate specific data fusion type keyword data; S3, performing a multimodal service data fusion operation on the standard multimodal service feature data according to the specific data fusion type keyword data to generate standard multimodal service fusion data, wherein S3 includes the following steps: S31, according to the specific data fusion type keyword data collection Specific data fusion type described in Keyword data to The standard multimodal service characteristic data Perform multimodal business data classification and fusion operations to generate a standard multimodal business fusion data set ,in Indicates the specific data fusion type keyword data Corresponding standard multi-modal service fusion data; The specific data fusion type keyword data set Including the specific data fusion type keyword data , the specific data fusion type keyword data And the specific data fusion type keyword data ,in , and Respectively represent , and Specific data fusion type keyword data; S4, performing a user-side data archive repository object information search process based on the standard multimodal service fusion data, generating user-side data archive repository object feature search data and performing archive repository object existence result judgment processing, generating user-side data archive repository object existence result judgment data, and directly executing step S6 if the user-side data archive repository object exists; S5. When it does not exist, use the field type text data according to the data Performing a search process on the component folder directory data of the data archive repository type corresponding to different data usage domain types for the component folder directory parameters of the multimodal business data archive repository type, and generating the component folder directory data of the specific data archive repository type; S6, executing a data archive repository component folder construction operation according to the user-side data archive repository object feature search data or the specific data archive repository type component folder directory data to generate specific data archive repository data; S7. Perform a multimodal business data archiving operation according to the specific data archiving repository data and the standard multimodal business fusion data.

2. The method for fusion archiving of multimodal business data according to claim 1, characterized in that: The S1 comprises the following steps: S11. Obtain different types of data online through the data input dialog box and generate multimodal business feature data ; Collect the multimodal service feature data online through a data input dialog box The data uses the text information of the field type and generates data using the field type text data ; S12, using wavelet transform method to transform the multimodal service feature data After data denoising preprocessing, standard multimodal business feature data is generated .

3. The method for fusion archiving of multimodal business data according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establish a keyword data set matrix corresponding to different data usage fields and data fusion types , ;in Indicates Different data usage field types corresponding to different data usage field types corresponding to data fusion type keyword data sets, , ; Indicates the keyword data set corresponding to the data fusion type of the different data usage field types Middle Different data usage field types correspond to data fusion type keyword data; Indicates the maximum number of data usage domain types. Indicates the keyword data set corresponding to the data fusion type of the different data usage field types The maximum number of keyword data of data fusion type corresponding to different data usage field types; S22, using the KD tree nearest neighbor search algorithm to convert the data into domain type text data Data fusion type keyword data set matrix corresponding to the different data usage field types The different data usage fields described in the data fusion type correspond to the keyword data set According to the data usage field type character matching, search for the data usage field type text data The corresponding different data usage field types correspond to the data fusion type keyword data set And generate a specific data fusion type keyword data set through data identification ,in Indicates A specific data fusion type keyword data.

4. The method for fusion archiving of multimodal business data according to claim 3, characterized in that: The S4 comprises the following steps: S41, using a depth-restricted search algorithm to fuse the data set according to the standard multimodal service Standard multi-modal service fusion data described in Perform a data archive repository object feature information search operation on the user-side server to search for the standard multimodal service fusion data The characteristic information of data archive repository objects storing the same or similar data, and generating user-side data archive repository object characteristic search data ; S42: Searching for data on the object characteristics of the user-side data archive repository The data characters are judged, and the user-side data archive repository object existence result judgment data is generated based on the data character judgment result ; When the user end data archive repository object feature searches for data If it is an empty set, the output is the result judgment data of the user-side data archive repository object. for not existing; When the user end data archive repository object feature searches for data If it is not an empty set, the output is the result judgment data of the existence of the user-side data archive repository object If it exists, directly execute step S6.

5. The method for fusion archiving of multimodal business data according to claim 4, characterized in that: The S5 comprises the following steps: S51. Establish a folder directory data set matrix corresponding to different data usage domain types and data archive repository types ,in Indicates Different data usage domain types corresponding to the data usage domain types correspond to data archive repository types and form folder directory data sets. , ; Indicates that the different data usage domain types correspond to the data archive repository types and constitute a folder directory data set Middle Different data usage domain types correspond to data archive repository types to form folder directory data; Indicates that the different data usage domain types correspond to the data archive repository types and constitute a folder directory data set The maximum number of folder directory data in the data archive repository type corresponding to different data usage domain types; S52: When the user-side data archive repository object has result judgment data If it does not exist, the data will be converted to text data of field type The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types described in the corresponding data archive repository types constitute folder directory data collection According to the data usage field type character matching, search for the data usage field type text data The corresponding different data usage domain types correspond to the data archive repository types and constitute the folder directory data set And the data identifier generates a specific data archive repository type to form a folder directory data set , execute to generate specific data archive repository type to form folder directory data set The specific steps are as follows: S521. Initialize parameters, update archive repository to identify the number of crow populations, maximum number of iterations, and flight distance ; S522, initializing the archive repository to identify the crow individuals in the different data usage domain types corresponding to the data archive repository types to form a folder directory data set matrix The initial position and memory in the search space, Only archive repositories identify crow individuals randomly distributed in a multidimensional search space, i.e. Only archive repositories identify crow individuals randomly distributed in a spatial dimension of The different data usage domain types correspond to data archive repository types and form a folder directory data collection matrix In the search space; in the first iteration, it is assumed that the archive repository recognizes that the crow individual hides the food in the initial position; that is, in the first iteration, it is assumed that the archive repository recognizes that the crow individual uses the domain type text data The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types in the initial position of the search space correspond to the data archive repository types to form a folder directory data set Make a match; S523, calculating the individual fitness value of each archive repository to identify the crow, that is, calculating the data usage field type text data The data archive repository types corresponding to the different data usage domain types constitute a folder directory data set matrix The different data usage domain types in the search space correspond to data archive repository types to form a folder directory data set The fitness value of S524, updating the archive repository to identify the crow individuals in the different data usage domain types corresponding to the data archive repository types to form a folder directory data set matrix Position in the search space; S525, determine the feasibility of the new position, and determine the feasibility of each archive repository identifying the new position of the crow individual; if the archive repository identifies the new position of the crow individual, it is feasible, and the archive repository identifies the crow individual and updates its position, that is, the different data usage domain types correspond to the data archive repository types to form a folder directory data set matrix Search out text data with the data type using the field The different data usage domain types that match each other correspond to the data archive repository type and form a folder directory data set , the archive repository identifies the crow individual and updates it to the different data that matches successfully. Use the field type corresponding to the data archive repository type to form a folder directory data set location; otherwise, the archive repository identifies the crow individual as staying at the current location and not moving to the new location; S526, evaluate the fitness value of the new position, calculate the fitness value of each archive repository to identify the new position of the crow individual, that is, calculate the folder directory data set matrix composed of the data archive repository type corresponding to the different data usage field types The data described in the search space uses domain type text data The data archive storage repository type corresponding to the different data usage domain types of the new location constitutes a folder directory data set The fitness value of S527, update memory, if the fitness value of the new position of the crow recognized by the archive repository is greater than the fitness value of the initial position in the memory, the archive repository recognizes that the crow updates its memory through the new position, otherwise it does not update its memory; that is, the standard power generation data set of generators in different scenarios Search out text data with the data type using the field The different data usage domain types with the largest fitness value correspond to the data archive repository type and form a folder directory data set ; S528. When the maximum number of iterations is met, output the folder directory data set composed of the data archive repository type corresponding to the different data usage domain types ; S529: The different data usage domain types output in step S528 correspond to the data archiving repository types to form a folder directory data set Generate a specific data archive repository type through data identification to form a folder directory data set ,in Indicates Folder directory data is organized into folders for each specific data archive repository type.

6. The method for fusion archiving of multimodal business data according to claim 5, characterized in that: The S6 comprises the following steps: S61: When the user-side data archive repository object has result judgment data If it does not exist, a folder directory data set is formed according to the specific data archive repository type. The specific data archive repository type described in the folder directory data to Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data ; When the user-side data archive repository object exists, the result judgment data If it exists, search for data based on the object characteristics of the user-side data archive repository Execute the data archive repository folder building operation in the user-side server and generate specific data archive repository data .

7. The method for fusion archiving of multimodal business data according to claim 6, characterized in that: The S7 comprises the following steps: S71: fusion data set of the standard multimodal service Standard multi-modal service fusion data described in to According to the data fusion type keywords, the data is stored in the specific data archive repository in order. Execute multimodal business data archiving jobs in the folder of the corresponding archive repository.

8. A system for fusion archiving of multimodal business data, used to implement a method for fusion archiving of multimodal business data as claimed in any one of claims 1 to 7, characterized in that: The system comprises a data fusion archiving original parameter acquisition module, a data fusion processing module and a data archiving processing module.

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