Library classification management system

By setting classification numbers, automatic identification and hierarchical classification, real-time comparison and voice alarm reminder, GPS positioning and resource scheduling in the library classification management system, the problems of insufficient category settings, inaccurate catalog recognition and untimely resource updates in library classification management are solved, and the convenience of book search, information accuracy and resource management accuracy are achieved.

CN120124855AInactive Publication Date: 2025-06-10HEBI CITY LIBRARY (HEBI CITY ANCIENT BOOK PROTECTION CENTER)
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Patent Information

Application Number
CN202510198407.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-22
Publication Date
2025-06-10
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing library classification management system has problems such as insufficient category settings, inaccurate catalog identification and untimely resource updates, resulting in inconvenient book search, inconsistent information and inaccurate resource management.

Method used

Design a library classification management system, including the classification refinement end, catalog recognition end and search and update end. Through technical means such as setting classification number, automatic identification and hierarchical classification, real-time comparison and voice alarm reminder, GPS positioning and resource scheduling, etc., it realizes the classification refinement of books in the library, accurate catalog recognition and timely resource updates.

Benefits of technology

By refining category settings and accurate cataloging and identification, the convenience of book search and information accuracy are improved, and the accuracy of library classification management is ensured; by updating resource information in real time, the problem of untimely resource management is solved and resource utilization efficiency is improved.

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Abstract

The invention, which relates to the technical field of classification management, discloses a library classification management system comprising a classification refining end, a catalogue identification end and a retrieval updating end. The classification refining end is used for setting corresponding classification numbers for classification refining of books in a library by setting a library classification management area range; the catalogue recognition end is used for automatically recognizing book catalogues, performing corresponding classification according to the classified and refined serial numbers, comparing the initial catalogues with the classified catalogues in real time, and judging whether the book catalogues are matched with the books or not; and the retrieval updating end is used for performing definition retrieval on the books, performing hierarchical setting on a retrieval mode, calculating the resource quantity of the corresponding books in real time through multiple channels, and performing real-time scheduling of resource blank at the corresponding positions. According to the library classification management system, classification confusion and misunderstanding of books are prevented, and real-time updating of the number of different types of resources and real-time display of the resources can be carried out.
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Description

Technical Field

[0001] The present invention relates to the technical field of classification management, and particularly relates to a library classification management system. Background Art

[0002] Library classification management is one of the cores of library management work. It classifies, organizes, and codes books through certain methods and principles so that readers can quickly and accurately find the required books. The library classification system is a system that classifies books according to certain rules and codes them, aiming to facilitate readers to retrieve according to factors such as theme, content, and type, and efficiently find the required books.

[0003] Currently, there are some defects in library classification management: 1. When classifying books in the library, the category settings are not refined enough. For some emerging library science theories and technologies, they cannot be accurately classified. Some category names are not accurate and standardized enough, which is easy to cause misunderstandings. The classification categories of the library are not clear enough, and these concepts are easy to cause confusion in book searching in actual applications; 2. The cataloging in publication is usually uniformly distributed by the library data center, and the data content and selection rules will be specified. However, in actual management, due to printing errors, the cataloging in publication of books may not be effectively corresponding to the books, resulting in information inconsistency. Books with information inconsistency cannot be accurately searched, resulting in a weakened accuracy of library classification management; 3. The resource types of modern libraries are becoming increasingly rich. In addition to traditional paper books, they also include e-books, databases, multimedia materials, etc. These different types of resources require different classification standards and methods. When using the existing library classification management, the quantity of different types of resources cannot be updated in real time, which is easy to cause abnormal book retrieval.

[0004] Therefore, a library classification management system is proposed to solve the above problems. Summary of the Invention

[0005] The main purpose of the present invention is to provide a library classification management system to solve the problems mentioned in the above background.

[0006] To achieve the above purpose, the technical solution adopted by the present invention is: a library classification management system, including a classification refinement end, a cataloging recognition end, and a retrieval update end. An abnormal warning module is jointly set in the classification refinement end, the cataloging recognition end, and the retrieval update end;

[0007] The classification refinement end is used to set the range of the library classification management area, and set corresponding classification numbers for the hierarchical refinement of the books in the library. Define the first letter for the classification number, distinguish the first letters defined for different types of books, and conduct simulation tests to obtain the optimal classification number;

[0008] The catalog recognition terminal is used to automatically recognize book catalogs, classify them according to the hierarchical and refined numbers, compare the initial catalogs and the classified catalogs in real time, determine whether the book catalogs match the books, and screen out the books with abnormal book catalogs for voice alarm reminders;

[0009] The retrieval and update terminal is used to perform defined retrieval on books, set hierarchical levels for the retrieval methods, calculate the resource quantities of corresponding books in real time through multiple channels, determine the real-time positions of the resources according to GPS real-time positioning, combine online and offline real-time book management statistics, and perform real-time scheduling for the blank positions of the resources;

[0010] The abnormal warning module is used to send voice alarm reminders in real time through voice alarm sensors when book management is abnormal.

[0011] The classification and refinement terminal includes a regional monitoring module, a category refinement module, and a definition differentiation module;

[0012] The regional monitoring module includes a regional setting unit, a book monitoring unit, and a regional management unit;

[0013] The regional setting unit is used to set the corresponding regional scope for library classification management and visually display the libraries around the corresponding regional scope according to the positioning navigation;

[0014] The book monitoring unit is used to monitor the books within the corresponding regional scope in real time through cameras;

[0015] The regional management unit is used to set the review rules for library book management. The review rules include catalog search, book classification, and review procedures.

[0016] The category refinement module includes a hierarchical refinement unit and a refinement definition unit;

[0017] The hierarchical refinement unit is used to hierarchically refine the books in the library and set corresponding classification numbers;

[0018] The refinement definition unit is used to set the corresponding initial letter definitions for the classification numbers. The initial letter definition method is as follows:

[0019] The books are divided into multiple types. The first letter of each type is used for primary refinement, the first letter of the book format of each type is used for secondary refinement, the multiple numbers of the bookshelves corresponding to each type of format are used for tertiary refinement, and the number of the position of the multiple numbered bookshelves corresponding to each type of format is used for quaternary refinement. The book formats include English versions and Chinese versions, and the multiple numbers of the bookshelves include the combination of the horizontal quantity and the vertical quantity.

[0020] The defined differentiation module includes a definition differentiation unit, a self-simulation unit, and an optimal selection unit;

[0021] The definition differentiation unit is used to differentiate and define books by setting book cataloging corresponding to the corresponding type, corresponding format, corresponding number, and the nth one;

[0022] The self-simulation unit is used to identify and repeat the defined book cataloging through self-simulation. The identification method is as follows:

[0023] Identify and determine the book cataloging of the nth book on the multi-numbered bookshelf corresponding to different types and corresponding formats. The determination formula is:

[0024]

[0025] Among them, P n represents the repetition rate value of the identification and determination of the book cataloging of the nth book on the multi-numbered bookshelf corresponding to different types and corresponding formats. U 1 represents the data of the first book cataloging to be identified. U 2 represents the data of the second book cataloging to be identified. x represents the data repetition rate of the first book cataloging, and X represents the data repetition rate of the second book cataloging;

[0026] If the calculated P n is equal to 0, it is determined that the book cataloging is correct. If P n is not equal to 0, it is determined that the book cataloging is incorrect;

[0027] The optimal selection unit is used to define the book cataloging determined to be correct as the optimal book cataloging.

[0028] The cataloging identification terminal includes a cataloging identification module, a cataloging comparison module, and a screening and search module;

[0029] The cataloging identification module includes a cataloging identification unit and a hierarchical classification unit;

[0030] The cataloging identification unit is used to re-identify the book cataloging through the calculation formula of P n ;

[0031] The hierarchical classification unit is used to hierarchically classify the book cataloging determined to be normal to obtain a classified cataloging, and the hierarchical classification is carried out in real time and divided according to various types of book divisions.

[0032] The cataloging comparison module includes an initial cataloging unit and a hierarchical comparison unit;

[0033] The initial cataloging unit is used to collect the initial cataloging uniformly issued by the library data center in real time through a data collector, and each initial cataloging corresponds to a book;

[0034] The hierarchical comparison unit is used to hierarchically compare the initial cataloging and the classified cataloging. The hierarchical comparison method is as follows:

[0035] Classify and divide the classified cataloging according to the four levels divided by the book cataloging, and calculate the first-order term coefficient of the regression equation. The formula is as follows:

[0036]

[0037] Among them, O represents the first-order term coefficient. This regression equation is used to represent the unary quadratic relationship between the classified cataloging data and the initial cataloging data. Specifically: M xy represents the basic value deviated by the first-level classified cataloging data, represents the basic value deviated by the first-level classified cataloging data from the specified data of the initial cataloging, represents the basic value deviated by the second-level classified cataloging, represents the basic value deviated by the second-level classified cataloging data from the specified data of the initial cataloging, M xx represents the basic value deviated by the classified cataloging at the current moment. Here, it represents the deviation values of the classified cataloging at different time points and different levels. And the classified cataloging represents the deviation value between the book cataloging of the nth book on the multiple-numbered bookshelf corresponding to different types defined by the book and the initial cataloging;

[0038] Calculate the second-order term coefficient of the regression equation. The formula is as follows:

[0039]

[0040] Among them, B represents the second-order term coefficient. This regression equation is used to represent the binary quadratic relationship between the classified cataloging data and the initial cataloging data;

[0041]

[0042] Among them, C represents the constant term coefficient, represents the average value of the deviation values of the classified cataloging at the current moment. Here, the classified cataloging represents the deviation between the book cataloging of the nth book on the multiple-numbered bookshelf corresponding to different types defined by the book and the initial cataloging, ∑x i 2 represents the correction value of the deviation of the i-th classified cataloging, represents the average value of all deformed data in the classified cataloging data set during cataloging identification, represents the average value of all classified cataloging data in the cataloging data set;

[0043] Based on the coefficients of the linear term, quadratic term, and constant term, a regression equation is established to obtain the correction value of the book cataloging of the nth multi-numbered bookshelf of different types corresponding to the initial cataloging.

[0044] The screening and searching module includes a corresponding screening unit and a cataloging warning unit;

[0045] The corresponding screening unit is used to define the books with a correction value equal to 0 as correctly classified books, and the books with a correction value not equal to 0 as incorrectly classified books;

[0046] The cataloging warning unit is used to report the system according to the screened incorrectly classified books and issue a voice alarm reminder in a timely manner.

[0047] The retrieval and update terminal includes a definition retrieval module, an internetworking module, a resource calculation module, and a retrieval display module;

[0048] The definition retrieval module includes a definition retrieval unit and a retrieval classification unit;

[0049] The definition retrieval unit is used to set the standard definition information of the corresponding book cataloging, display the definition retrieval content of the books corresponding to the book cataloging through the big data internet, and record it in real time through a data recorder;

[0050] The retrieval classification unit is used to hierarchically display the retrieval content of the corresponding books, and the hierarchical display is carried out in real time and displayed according to multiple types divided by the books.

[0051] The internetworking module includes an internet retrieval unit, and the internet retrieval unit is used to automatically count the remaining quantity of the corresponding books around the corresponding area of the library through the big data recognition technology of the internet;

[0052] The resource calculation module is used to calculate the resource quantity of the corresponding books in real time through the review situation of the corresponding books in the library within the corresponding area range and the review situation of the corresponding books in the surrounding libraries within the corresponding area range, and realize resource accumulation by addition.

[0053] The retrieval display module includes a type statistics unit, an arrangement display unit, and a blank scheduling unit;

[0054] The type statistics unit is used to statistically store in real time according to the real-time position of the resources corresponding to the GPS, combined with the real-time management statistics of online and offline books, and according to the book type through a data recorder;

[0055] The arrangement display unit is used to visually display the corresponding books in real time through a computer, and the visual display is carried out in a horizontal or vertical arrangement;

[0056] The blank scheduling unit is used to indicate that the corresponding book is missing when the corresponding book count is 0. It uses big data to detect in real time whether there is the corresponding book in the libraries around the corresponding area. If the detection result is greater than 0, book scheduling is performed through data sensors.

[0057] The present invention has the following beneficial effects:

[0058] 1. In the present invention, by setting up a classification refinement end, when managing library classification, by setting the range of the library classification management area, and by setting corresponding classification numbers for the hierarchical refinement of the books in the library, differentiating the initial letters of different types of books, and selecting the classification number with the best differentiation effect for the book definitions, the category settings are refined enough when classifying the books in the library, avoiding the situation where it is impossible to accurately classify a large number of book types in the library, making the corresponding category names of the books accurate and standardized, preventing classification confusion and misunderstanding of the books, and making it faster and more convenient to search for books in the library in actual applications.

[0059] 2. In the present invention, by setting up a cataloging recognition end, when managing library classification, by automatically classifying and grading the book catalogs, and comparing the initial catalogs and the classified catalogs in real time, it is judged whether the book catalogs match the books, avoiding the situation where the book catalogs of the books do not effectively correspond to the books due to printing errors in actual management, preventing information mismatch, quickly and accurately searching for books, and increasing the accuracy of library classification management.

[0060] 3. In the present invention, by setting up a retrieval update end, when managing library classification, by setting different levels for the retrieval methods, and based on the real-time position of the resources corresponding to the GPS real-time positioning, combined with the real-time statistics of online and offline book management, when retrieving book resources, it can arrange and display the available resources, and perform real-time scheduling for the blank positions of the resources in real time, ensuring the richness of resources in modern libraries, enabling real-time update of the quantities of different types of resources and real-time display of the resources when the library conducts classification management of books, and ensuring normal book retrieval and convenient scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 It is a schematic diagram of the overall system architecture of a library classification management system of the present invention;

[0062] Figure 2 It is a schematic diagram of the structure of the classification refinement end of a library classification management system of the present invention;

[0063] Figure 3 It is a schematic diagram of the structure of the cataloging recognition end of a library classification management system of the present invention;

[0064] Figure 4This is a schematic diagram of the architecture of the retrieval and update terminal of a library classification management system according to the present invention. Detailed implementation manners

[0065] In order to make the technical means, creative features, achieved purposes and effects realized by the present invention easy to understand, the present invention will be further described below in conjunction with specific implementation manners.

[0066] Embodiment 1

[0067] Please refer to Figures 1 to 2 As shown: A library classification management system includes a classification refinement terminal, a catalog identification terminal and a retrieval and update terminal. An exception warning module is jointly provided for the classification refinement terminal, the catalog identification terminal and the retrieval and update terminal;

[0068] The classification refinement terminal is used to set the range of the library classification management area, and set corresponding classification numbers for the hierarchical refinement of the books in the library. Define the initial letters for the classification numbers, distinguish the initial letters defined for different types of books, and conduct simulation tests to obtain the optimal classification numbers;

[0069] The catalog identification terminal is used to automatically identify the book catalogs, and conduct corresponding classification according to the hierarchical refinement numbers. Compare the initial catalogs and the classified catalogs in real time to judge whether the book catalogs match the books, and screen out the books with abnormal book catalogs for voice alarm reminder;

[0070] The retrieval and update terminal is used to define the retrieval of books, set the levels for the retrieval methods, calculate the resource quantities of the corresponding books in real time through multiple channels, and determine the real-time positions of the resources according to the GPS real-time positioning. Combine the real-time management statistics of online and offline books, and conduct real-time scheduling for the blank resources at the corresponding positions;

[0071] The exception warning module is used to send out voice alarm reminders in real time through voice alarm sensors when book management is abnormal.

[0072] The classification refinement terminal includes a region monitoring module, a category refinement module and a definition and differentiation module;

[0073] The region monitoring module includes a region setting unit, a book monitoring unit and a region management unit;

[0074] The region setting unit is used to set the corresponding region range for library classification management, and visually display the libraries around the corresponding region range according to the positioning navigation;

[0075] The book monitoring unit is used to monitor the books in the corresponding region range in real time through a camera;

[0076] The area management unit is used to set the review rules for library book management. The review rules include catalog search, book classification, and review procedures. By grading and refining the books in the library, corresponding classification numbers are set. For each level of classification number, the initial letter is defined, and the initial letters defined for different types of books are distinguished.

[0077] The category refinement module includes a grading and refinement unit and a refinement definition unit;

[0078] The grading and refinement unit is used to grade and refine the books in the library and set corresponding classification numbers;

[0079] The refinement definition unit is used to set the corresponding initial letter definition for the classification number. The method of initial letter definition is as follows:

[0080] The books are divided into multiple types. The first letter of each type is used for primary refinement, the first letter of the book format of each type is used for secondary refinement, the multiple numbers of the bookshelves corresponding to each type of format are used for tertiary refinement, and the number of the nth of the multiple numbered bookshelves corresponding to each type of format is used for quaternary refinement. The book formats include English version and Chinese version, and the multiple numbers of the bookshelves include the combination of the horizontal number and the vertical number.

[0081] The definition and distinction module includes a definition and distinction unit, a self-simulation definition unit, and an optimal selection unit;

[0082] The definition and distinction unit is used to define and distinguish books by setting the book catalog corresponding to the corresponding type, corresponding format, corresponding number, and corresponding nth;

[0083] The self-simulation definition unit is used to perform repeated self-simulation recognition on the defined book catalog. The recognition method is as follows:

[0084] For the book catalog of the nth of the multiple numbered bookshelves corresponding to different types and corresponding formats, the recognition and determination are carried out. The determination formula is:

[0085]

[0086] Among them, P n represents the repetition rate value of the book catalog recognition and determination of the nth of the multiple numbered bookshelves corresponding to different types and corresponding formats, U 1 represents the data of the first book catalog recognized, U 2 represents the data of the second book catalog recognized, x represents the data repetition rate of the first book catalog, and X represents the data repetition rate of the second book catalog;

[0087] If the calculated P n is equal to 0, it is determined that the book catalog is correct. If P n is not equal to 0, it is determined that the book catalog is incorrect;

[0088] The optimal selection unit is used to define the book catalog determined to be correct as the optimal book catalog. Through simulation tests after the definition differentiation, the classification number with the optimal book definition differentiation effect is selected, so that when classifying books in the library, the category settings are refined enough to avoid the situation that it is impossible to accurately classify a large number of book types in the library, so that the corresponding category names of the books can be accurate and standardized, preventing classification confusion and misunderstanding of the books, and making it faster and more convenient to search for books in the library in actual applications.

[0089] Embodiment 2

[0090] Please refer to Figure 3 as shown: Based on Embodiment 1, the catalog recognition end includes a catalog recognition module, a catalog comparison module, and a screening and search module;

[0091] The catalog recognition module includes a catalog recognition unit and a hierarchical classification unit;

[0092] The catalog recognition unit is used to secondarily recognize the book catalog through the calculation formula of P n to recognize the book catalog;

[0093] The hierarchical classification unit is used to hierarchically classify the book catalog determined to be normal, and obtain a classified catalog. The hierarchical classification is performed in real time and divided according to multiple types of book divisions. Through automatic recognition of the book catalog and automatic hierarchical classification of the book catalog, the hierarchical classification is corresponding classification according to the refined numbers at different levels. When performing corresponding classification, the initial catalog and the classified catalog are compared in real time, and it can be judged in time whether the book catalog matches the book.

[0094] The catalog comparison module includes an initial catalog unit and a hierarchical comparison unit;

[0095] The initial catalog unit is used to collect the initial catalog uniformly issued by the library data center in real time through a data collector, and each initial catalog corresponds to a book;

[0096] The hierarchical comparison unit is used to perform hierarchical comparison between the initial catalog and the classified catalog. The hierarchical comparison method is as follows:

[0097] The classified catalog is hierarchically divided according to the four levels divided by the book catalog, and the first-order coefficient of the regression equation is calculated. The formula is as follows:

[0098]

[0099] Among them, O represents the first-order coefficient. This regression equation is used to represent the unary quadratic relationship formed between the classified catalog data and the initial catalog data. Specifically as follows: M xy represents the basic value deviated by the first-level classified catalog data, The basic value indicating the deviation of the first-level classification cataloging data from the initial cataloging specified data The basic value indicating the deviation of the second-level classification cataloging The basic value indicating the deviation of the second-level classification cataloging data from the initial cataloging specified data, M xx The basic value indicating the deviation of the classification cataloging at the current moment. Here, it represents the deviation values of classification cataloging at different time points and different levels, and the classification cataloging represents the deviation value between the cataloging of the nth book in the multi-numbered bookshelf corresponding to different types defined by the book and the initial cataloging;

[0100] Calculate the quadratic term coefficient of the regression equation. The formula is as follows:

[0101]

[0102] Among them, B represents the quadratic term coefficient. This regression equation is used to represent the binary quadratic relationship formed between the classification cataloging data and the initial cataloging data;

[0103]

[0104] Among them, C represents the constant term coefficient, Represents the average value of the deviation values of the classification cataloging at the current moment. Here, the classification cataloging represents the deviation between the cataloging of the nth book in the multi-numbered bookshelf corresponding to different types defined by the book and the initial cataloging, ∑x i 2 Represents the correction value of the deviation of the ith classification cataloging, Represents the average value of all deformed data in the classification cataloging data set during cataloging identification, Represents the average value of all classification cataloging data in the cataloging data set;

[0105] Based on the linear term coefficient, quadratic term coefficient and constant term coefficient, establish a regression equation to obtain the correction value between the cataloging of the nth book in the multi-numbered bookshelf corresponding to different types and the initial cataloging.

[0106] The screening and searching module includes a corresponding screening unit and a cataloging warning unit;

[0107] The corresponding screening unit is used to define the books with a correction value equal to 0 as correctly classified books. Correctly classified books indicate that the book cataloging matches the book, and define the books with a correction value not equal to 0 as incorrectly classified books. Incorrectly classified books indicate that the book cataloging does not match the book;

[0108] The catalog warning unit is used to report to the system according to the screened books with wrong classifications, and issue voice alerts in a timely manner to remind of the books with abnormal cataloging, so as to avoid the situation where the book cataloging and the books cannot be effectively corresponded due to printing errors in actual book management, prevent information mismatch, quickly and accurately find books, and increase the accuracy of library classification management.

[0109] Embodiment III

[0110] Please refer to Figure 4 as shown in: Based on Embodiment I, the retrieval and update end includes a defined retrieval module, an Internet connection and interoperability module, a resource calculation module, and a retrieval display module;

[0111] The defined retrieval module includes a defined retrieval unit and a retrieval classification unit;

[0112] The defined retrieval unit is used to set the standard definition information corresponding to the book cataloging, display the defined retrieval content of the books corresponding to the book cataloging through the big data Internet, and record it in real time through a data recorder;

[0113] The retrieval classification unit is used to hierarchically display the retrieval content of the corresponding books, and the hierarchical display is carried out in real time and displayed according to various types divided by the books.

[0114] The Internet connection and interoperability module includes an Internet retrieval unit, and the Internet retrieval unit is used to automatically count the remaining quantity of the corresponding books around the corresponding area of the library through the big data recognition technology of the Internet;

[0115] The resource calculation module is used to calculate the resource quantity of the corresponding books in real time through the review situation of the corresponding books in the library within the corresponding area range and the review situation of the corresponding books in the surrounding libraries within the corresponding area range, and realize resource accumulation by addition. Through the defined retrieval of the books and the hierarchical setting of the retrieval methods, the big data Internet connection and interoperability are realized during the retrieval. The resource quantity of the corresponding books is calculated in real time through multiple channels, and the real-time position corresponding to the resource is located in real time according to GPS, combined with the real-time book management statistics online and offline.

[0116] The retrieval display module includes a type statistics unit, an arrangement display unit, and a blank scheduling unit;

[0117] The type statistics unit is used to count and store in real time according to the real-time position corresponding to the resource located in real time by GPS, combined with the real-time book management statistics online and offline, and according to the book type through a data recorder;

[0118] The arrangement display unit is used to visually display the corresponding books in real time through a computer, and the visual display is carried out in a horizontal or vertical arrangement;

[0119] The blank scheduling unit is used to indicate that the corresponding book is missing when the corresponding book count is 0. It detects in real time through big data whether there is the corresponding book in the libraries around the corresponding area range. If the detection result is greater than 0, it schedules the book through a data sensor. When retrieving book resources, it can arrange and display the available resources, and perform real-time scheduling of the blank resources at the corresponding positions in real time to ensure the richness of resources in modern libraries. It combines traditional paper books with e-books, databases, and multimedia materials to achieve multi-type display. These different types of resources are classified and managed according to a unified classification standard and method, enabling the library to update the quantity of different types of resources in real time and display the resources in real time when classifying and managing books.

[0120] In the present invention, a library classification management system, when operating this system, first sets the library classification management area range, combines a camera to monitor the books in the corresponding area range in real time, sets the library book management review rules, and sets corresponding classification numbers for the books in the library through hierarchical refinement. Define the initial letter for each level of classification number, distinguish the initial letters defined for different types of books, and conduct simulation tests after the definition and distinction, and select the classification number with the best book definition and distinction effect, so that when classifying the books in the library, the category settings are refined enough to avoid the situation where there are too many types of books in the library and they cannot be accurately classified, making the category names corresponding to the books accurate and standardized, preventing classification confusion and misunderstanding of books, and making it faster and more convenient to find books in the library in actual applications; automatically identify the book cataloging, and automatically classify and categorize the book cataloging according to the hierarchical refinement numbers. When corresponding classification and categorization, compare the initial cataloging and the classified cataloging in real time to determine whether the book cataloging matches the book, and screen out the books with abnormal book cataloging for voice alarm reminder, so that in actual management of books, it can avoid the situation where the book cataloging of the book does not match the book due to printing errors, prevent information inconsistency, quickly and accurately find books, and increase the accuracy of library classification management; automatically identify the book cataloging, and automatically classify and categorize the book cataloging according to the hierarchical refinement numbers. When corresponding classification and categorization, compare the initial cataloging and the classified cataloging in real time to determine whether the book cataloging matches the book, and screen out the books with abnormal book cataloging for voice alarm reminder, so that in actual management of books, it can avoid the situation where the book cataloging of the book does not match the book due to printing errors, prevent information inconsistency, quickly and accurately find books, and increase the accuracy of library classification management.

[0121] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only to illustrate the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements fall within the scope of the present invention claimed. The scope of the present invention claimed is defined by the appended claims and their equivalents.

Claims

1. A library classification management system, characterized in that: The library classification management system includes a classification refinement end, a cataloging identification end and a retrieval update end, and the classification refinement end, the cataloging identification end and the retrieval update end are jointly provided with an abnormal warning module; The classification refinement terminal is used to set the library classification management area range, and set the corresponding classification number for the classification refinement of the books in the library, define the first letter of the classification number, distinguish the first letters defined for different types of books, and perform simulation tests to obtain the optimal classification number; The catalog recognition terminal is used to automatically recognize the book catalog, classify it according to the hierarchical and refined numbers, compare the initial catalog with the classified catalog in real time, determine whether the book catalog matches the book, and issue a voice alarm to the books that have abnormal catalogs; The search and update terminal is used to define and search for books, and to set the search method in a hierarchical manner, to calculate the number of resources of corresponding books in real time through multiple channels, to locate the real-time position of the resources in real time according to GPS, to combine online and offline real-time book management statistics, and to perform real-time scheduling of blank resources at corresponding positions; The abnormal warning module is used to send out a voice alarm reminder in real time through a voice alarm sensor when the book management is abnormal.

2. The system according to claim 1, characterized in that The classification refinement end includes a region monitoring module, a category refinement module and a definition distinction module; The area monitoring module includes an area setting unit, a book monitoring unit and an area management unit; The area setting unit is used to set the corresponding area range of library classification management, and visualize the libraries around the corresponding area range according to the positioning navigation; The book monitoring unit is used to monitor the books in the corresponding area in real time through a camera; The area management unit is used to set the library book management review rules, and the review rules include catalog search, book classification and review procedures.

3. The system according to claim 2, characterized in that The category refinement module includes a hierarchical refinement unit and a refinement definition unit; The classification and refinement unit is used to classify and refine the books in the library and set corresponding classification numbers; The detailed definition unit is used to set the corresponding initial letter definition for the classification number, and the initial letter definition method is as follows: Books are divided into multiple types. Each type is refined at the first level by taking the first letter of the English alphabet. Each type of book format is refined at the second level by taking the first letter of the English alphabet. Each type of bookshelf with the corresponding format is refined at the third level. Each type of bookshelf with the corresponding format is refined at the fourth level. Book formats include English and Chinese versions. Bookshelf multiple numbers include a combination of horizontal and vertical row numbers.

4. The system according to claim 3, characterized in that The definition differentiation module includes a definition differentiation unit, a definition self-simulation unit and an optimal selection unit; The definition distinguishing unit is used to distinguish the definition of books by setting the corresponding type, format, number and order of the book catalog; The defined self-simulation unit is used to perform repeated self-simulation recognition on the defined book cataloging, and the recognition method is as follows: The identification and determination of the nth book catalog of multi-numbered bookshelves of different types and corresponding formats is performed, and the determination formula is: Among them, P n Indicates the repetition rate value determined by the identification of the nth book catalog of multi-numbered bookshelves of different types and corresponding formats, U1 represents the data of the first book catalog identified, U2 represents the data of the second book catalog identified, x represents the data repetition rate of the first book catalog, and X represents the data repetition rate of the second book catalog; If the calculated P n If P is equal to 0, the book cataloging is judged to be correct. n If it is not equal to 0, it is judged that the book cataloging is wrong; The optimal selection unit is used to define the book cataloging determined to be correct as the optimal book cataloging.

5. The system according to claim 1, characterized in that The catalog identification terminal includes a catalog identification module, a catalog comparison module and a screening and searching module; The catalog identification module includes a catalog identification unit and a hierarchical classification unit; The catalog identification unit is used to identify the n The calculation formula for secondary identification of book cataloging; The grading and classification unit is used to grade and classify the book catalogs that are judged to be normal, and obtain the classified catalogs. The grading and classification are graded and classified in real time according to the multiple types of book classification.

6. The system according to claim 5, characterized in that The cataloguing and comparison module includes an initial cataloguing unit and a hierarchical comparison unit; The initial cataloging unit is used to collect the initial catalogs issued by the library data center in real time through a data collector, and each initial catalog corresponds to a book; The hierarchical comparison unit is used to perform hierarchical comparison on the initial catalog and the classified catalog. The hierarchical comparison method is as follows: The classification catalog is divided into four classes according to the book catalog, and the coefficient of the first-order term of the regression equation is calculated. The formula is as follows: Among them, O represents the coefficient of the first-order term. This regression equation is used to express the quadratic relationship between the classified catalog data and the initial catalog data, as follows: M xy Indicates the basic value of the deviation of the first-level classification and cataloging data. Indicates the basic value of the deviation between the first-level classification cataloging data and the initial cataloging specified data. Indicates the base value of the second-level classification catalog deviation. Indicates the basic value of the deviation between the secondary classification cataloging data and the initial cataloging data, M xx Indicates the basic value of the current classification catalog deviation, which indicates the classification catalog deviation values ​​at different time points and different levels, and the classification catalog indicates the deviation value between the nth book catalog of the multi-numbered bookshelf of different types and formats defined by the book and the initial catalog; Calculate the quadratic term coefficient of the regression equation as follows: Among them, B represents the coefficient of the quadratic term. This regression equation is used to represent the binary quadratic relationship between the classified catalog data and the initial catalog data. Where C represents the constant term coefficient, Indicates the average value of the deviation of the classification catalog at the current moment. The classification catalog here means the deviation of the nth book catalog of the multi-numbered bookshelf of different types and formats defined by the book from the initial catalog, ∑x i 2 represents the correction value of the deviation of the i-th classification cataloging, It represents the average value of all deformation data in the classified catalog data set during catalog identification. It represents the average value of all classified catalog data in the catalog data set; According to the coefficients of the first-order term, the second-order term and the constant term, a regression equation is established to obtain the revised values ​​of the n-th book cataloging and the initial cataloging of the multi-numbered bookshelves of different types and corresponding formats.

7. The system according to claim 6, characterized in that The screening and searching module includes a corresponding screening unit and a cataloging warning unit; The corresponding screening unit is used to define books with a correction value equal to 0 as correctly classified books, and define books with a correction value not equal to 0 as incorrectly classified books; The cataloging warning unit is used to report the screened misclassified books to the system and issue a voice alarm reminder in time.

8. The system according to claim 1, characterized in that The search and update end includes a definition search module, a networking module, a resource calculation module and a search display module; The definition retrieval module includes a definition retrieval unit and a retrieval classification unit; The definition search unit is used to set standard definition information corresponding to the book catalog, and display the definition search content of the books corresponding to the book catalog through the big data Internet, and record it in real time through the data recorder; The search grading unit is used to display the search contents of the corresponding books in a graded manner, and the graded display is performed in real time according to the multiple types of books.

9. The system according to claim 8, characterized in that The network interconnection module includes a network retrieval unit, which is used to automatically count the remaining quantity of corresponding books around the corresponding area of ​​the library through the big data recognition technology of the Internet; The resource calculation module is used to calculate the resource quantity of the corresponding books in real time through multiple channels through the review status of the corresponding books in the libraries within the corresponding area, as well as the review status of the corresponding books in the libraries around the corresponding area, and realize resource accumulation by addition.

10. The system according to claim 9, characterized in that The retrieval display module includes a type statistics unit, an arrangement display unit and a blank scheduling unit; The type statistics unit is used to locate the real-time location of the resource in real time according to the GPS, combine the online and offline real-time book management statistics, and store the statistics in real time through the data recorder according to the book type; The arrangement and display unit is used to visually display the corresponding books in real time through a computer, and the visual display is displayed in a horizontal or vertical arrangement; The blank scheduling unit is used to detect in real time through big data whether there are corresponding books in the libraries around the corresponding area when the corresponding book is 0, and if the detection result is greater than 0, the book is scheduled through the data sensor.