CN116362684A - Library cluster-based book management method, library cluster-based book management device, library cluster-based book management equipment and storage medium - Google Patents
Library cluster-based book management method, library cluster-based book management device, library cluster-based book management equipment and storage medium Download PDFInfo
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Abstract
The invention relates to an artificial intelligence technology, and discloses a library cluster-based book management method, which comprises the following steps: basic data of each cluster system of the library cluster system are collected, combined assembly, consistency check and user image processing generation are carried out according to the basic data, a cataloging database, a borrowing record base and a reader information base are respectively obtained, and the three bases are sent to each cluster system; when a book consulting request is received, searching in a cluster database according to book information in the request; when a book borrowing request is received, a cluster database is utilized to search books and borrowers in the request for book retrieval and authority verification; when a book returning request is received, information verification is carried out by utilizing the cluster database according to the returned books and the returning person in the request. The invention also provides a library cluster-based book management device, equipment and medium. The invention can improve the resource mobility, sharing rate and book management efficiency among libraries.
Description
Technical Field
The present invention relates to the field of artificial intelligence technologies, and in particular, to a library cluster-based book management method, apparatus, electronic device, and computer readable storage medium.
Background
With the development of economic culture, the popularization range of books is wider, and the information quantity and the workload of the library are further increased gradually. The labor intensity required by manual borrowing and returning, putting on a shelf and the like is high and the efficiency is low. In the prior art, a library service management automation system is often adopted, and the system takes a collection document mainly containing printed matters as a management object and takes a book database as a center, so that the system has management functions of cataloging, circulation, borrowing and the like of books and continuous publications. However, although the existing book management system solves the manual problems of manual book borrowing and returning, the management system is the management of a single library, cannot be applied to unified management of a plurality of libraries, and cannot intelligently conduct data management on books according to the borrowing situation of people. In summary, the existing book management system has the problems that different libraries are difficult to pool, the resource mobility and the resource sharing rate among the libraries are low, and the efficiency of book management is low.
Disclosure of Invention
The invention provides a library cluster-based book management method and device and a computer-readable storage medium, and mainly aims to solve the problems of low resource mobility, low resource sharing rate and low book management efficiency among libraries.
In order to achieve the above object, the present invention provides a library cluster-based book management method, including:
acquiring a library cluster system list, and acquiring basic data of each cluster system in the library cluster system list, wherein the basic data comprises book data, borrowing data and reader data;
the book data are assembled in a combined mode according to preset category labels, a cataloging database is obtained, consistency check is conducted according to borrowing relations in borrowing data and historical records in reader data, and checked data are stored into a preset borrowing record database;
generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
The reader information base, the cataloging database and the borrowing record base are sent to each cluster system;
receiving a terminal request of a target cluster system, and identifying a request type of the terminal request;
if the terminal request is a book consulting request, analyzing the book consulting request to obtain book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
if the terminal request is a book borrowing request, analyzing the book borrowing request to obtain a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base to obtain a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
if the terminal request is a book return request, analyzing the book return request to obtain a returned book and a returned person, verifying information by using the borrowing record library according to the returned book and the returned person, and updating basic data of the target cluster system according to a verification result.
Optionally, the collecting basic data of each cluster system in the library cluster system list includes:
setting a plurality of cluster systems as a main cluster system and a subset cluster system, and acquiring the IP addresses, interface information and data acquisition configuration files of the subset cluster systems;
generating a data acquisition interface according to the data acquisition configuration file, and initiating an interface registration request to the main cluster system through the IP address and the interface information;
and after successful registration, opening the data acquisition interface to the main cluster system, and acquiring basic data by utilizing the data acquisition interface.
Optionally, the step of jointly compiling the book data according to a preset category label to obtain a catalogue database includes:
extracting book names in the book data, and selecting one target book data from the book data one by one;
repeatedly searching according to the book names of the target book data, and updating the book quantity of the target book data according to the searching result to obtain updated data;
carrying out data cleaning on the updated data according to the category label to obtain cleaning data;
Outputting the cleaning data into a preset classification model, and outputting the cleaning data and corresponding categories;
and performing list arrangement according to the category corresponding to the cleaning data and the updating data to obtain a catalogue database.
Optionally, the generating a user portrait of each reader based on the borrowing data and the reader data includes:
dividing the borrowing data and the reader data into dimension data of a plurality of portrait dimensions;
clustering the dimension data in the portrait dimension to form at least two class clusters aiming at each portrait dimension, and determining label names corresponding to the class clusters respectively;
and detecting target class clusters to which the dimension data of each reader under each portrait dimension belong according to each reader in the reader data, and forming user portraits of the readers by utilizing the tag names respectively corresponding to the target class clusters.
Optionally, the matching of the portraits according to the user portraits to obtain recommended books of each reader includes:
selecting one of the user portraits as a target portraits, and taking the user portraits except the target portraits as portraits to be matched;
According to the similarity calculation of the target image and the images to be matched, selecting the images to be matched, of which the similarity calculation results are larger than a threshold value, as a reference image group;
and determining a recommended bibliography according to book attribute data of each user portrait in the reference portrait group.
Optionally, the analyzing the book reference request to obtain book information includes:
splitting the book reference request to obtain a request body, and identifying a request body data class in the book reference request;
acquiring a request body method corresponding to the request body data class, and constructing a request body extraction statement according to the request body method;
and executing the request body extraction statement to extract a request message header in the book reference request, and carrying out data analysis on the message header to obtain book information.
Optionally, the information verification is performed by using the borrowing record library according to the return book and the return person, and the basic data of the target cluster system is updated according to the verification result, including:
searching in the borrowing record base according to the returned books;
if the returned book can not be retrieved, judging that verification fails;
If the returned books can be retrieved, judging that the verification is successful, and updating borrowing data in the basic data;
and extracting borrowing time through the retrieved borrowing record, calculating a difference value according to the borrowing time and preset returning time, and adjusting the borrowing credit of the returning person by utilizing the difference value.
In order to solve the above problems, the present invention further provides a library cluster-based book management apparatus, which includes:
the system comprises a cluster system data acquisition module, a library cluster system list and a library database, wherein the cluster system data acquisition module is used for acquiring basic data of each cluster system in the library cluster system list, and the basic data comprise book data, borrowing data and reader data;
the shared database generation module is used for carrying out joint assembly on the book data according to a preset category label to obtain a catalogue database, carrying out consistency check according to the borrowing relation in the borrowing data and the history record in the reader data, and storing the checked data to a preset borrowing record library; generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
The database sharing module is used for sending the reader information base, the cataloging database and the borrowing record base to each cluster system;
the terminal request identification module is used for receiving a terminal request of the target cluster system and identifying a request type of the terminal request;
the book consulting request processing module is used for analyzing the book consulting request when the terminal request is a book consulting request, obtaining book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
the book borrowing request processing module is used for analyzing the book borrowing request when the terminal request is a book borrowing request, obtaining a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base, obtaining a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
And the book return request processing module is used for analyzing the book return request when the terminal request is a book return request, obtaining a return book and a return person, carrying out information verification according to the return book and the return person by utilizing the borrowing record library, and updating the basic data of the target cluster system according to a verification result.
In order to solve the above-mentioned problems, the present invention also provides an electronic apparatus including:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the library cluster-based book management method described above.
In order to solve the above-mentioned problems, the present invention further provides a computer readable storage medium, in which at least one computer program is stored, the at least one computer program being executed by a processor in an electronic device to implement the library cluster-based book management method described above.
The embodiment of the invention realizes the data sharing of the whole library cluster by collecting the data of each library cluster system; library cluster cataloging databases, borrowing record libraries and reader information libraries are formed by carrying out book assembly, borrowing arrangement and recommendation book generation based on reader user portraits on basic data of each cluster system, and a library cluster data sharing library is constructed; judging the type of the terminal request by responding to the terminal request of a certain cluster, and further mobilizing each database of the whole library cluster to comprehensively analyze the terminal request, so that the data linkage among library cluster systems is realized; and the analysis result is returned to the terminal, or the basic data of the cluster system is updated according to the analysis result, so that the data circulation flow among library cluster systems is realized, and the efficiency of book management is improved. Therefore, the library cluster-based book management method, device, electronic equipment and computer readable storage medium can solve the problems of low resource mobility, low resource sharing rate and low book management efficiency among libraries.
Drawings
FIG. 1 is a schematic flow chart of a library cluster-based book management method according to an embodiment of the present invention;
FIG. 2 is a flowchart of a method for collecting basic data of each cluster system in a library cluster system list according to an embodiment of the present invention;
FIG. 3 is a flow chart of generating a user representation of each reader based on borrowing data and reader data in accordance with one embodiment of the present invention;
FIG. 4 is a functional block diagram of a library cluster-based book management apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the library cluster-based book management method according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The embodiment of the application provides a library cluster-based book management method. The execution subject of the library cluster-based book management method includes, but is not limited to, at least one of a server, a terminal, and the like, which can be configured to execute the method provided by the embodiment of the application. In other words, the library cluster-based book management method may be performed by software or hardware installed in a terminal device or a server device, and the software may be a blockchain platform. The service end includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
Referring to fig. 1, a flowchart of a library cluster-based book management method according to an embodiment of the present invention is shown. In this embodiment, the library cluster-based book management method includes:
s1, acquiring a library cluster system list, and acquiring basic data of each cluster system in the library cluster system list, wherein the basic data comprise book data, borrowing data and reader data.
In the embodiment of the invention, the library cluster system list comprises a plurality of cluster systems, the cluster systems can be expressed as an actual library venue or network virtual library, and library clusters are obtained by constructing the plurality of cluster systems, so that each cluster system in the library clusters can realize data sharing and comprehensive management.
Referring to fig. 2, in the embodiment of the present invention, the collecting basic data of each cluster system in the library cluster system list includes:
s21, setting a plurality of cluster systems as a main cluster system and a subset group system, and acquiring IP addresses, interface information and data acquisition configuration files of the subset group systems;
S22, generating a data acquisition interface according to the data acquisition configuration file, and initiating an interface registration request to the main cluster system through the IP address and the interface information;
and S23, after successful registration, opening the data acquisition interface to the main cluster system, and acquiring basic data by using the data acquisition interface.
In the embodiment of the invention, the data acquisition interface is arranged in each sub-cluster system in advance before service application deployment by presetting the data acquisition configuration file in the sub-cluster system, generating the data acquisition interface based on the data acquisition configuration file after the sub-cluster system is started and initiating the interface registration request to the main cluster system.
In another alternative embodiment of the present invention, the base data may be crawled from a storage area (e.g., blockchain node, database, etc.) where each clustered system stores system data via a computer sentence or crawler technology, etc. with a crawling function.
S2, the book data are assembled in a combined mode according to preset category labels, a cataloging database is obtained, consistency check is conducted according to borrowing relations in borrowing data and historical records in reader data, and checked data are stored into a preset borrowing record database.
In the embodiment of the invention, the book data grabbed from each cluster system has the conditions of superposition, difference and the like, and the collected book data is combined and assembled to realize the sharing and updating of the book data of all the cluster systems in the library cluster, so that the circulation of the book data in a plurality of cluster systems is further realized, and the book data is not limited to a certain cluster system.
In the embodiment of the invention, the book data comprises a plurality of books and corresponding book quantity, book information (publishing time, publishing agency, etc.), cluster system owners, etc., and the book data is arranged according to one basic data (for example, according to the book names), so that attributes, categories, etc. are arranged, and a cataloging database is formed.
In the embodiment of the present invention, the step of performing joint assembly on the book data according to a preset category label to obtain a catalogue database includes:
extracting book names in the book data, and selecting one target book data from the book data one by one;
repeatedly searching according to the book names of the target book data, and updating the book quantity of the target book data according to the searching result to obtain updated data;
Carrying out data cleaning on the updated data according to the category label to obtain cleaning data;
outputting the cleaning data into a preset classification model, and outputting the cleaning data and corresponding categories;
and performing list arrangement according to the category corresponding to the cleaning data and the updating data to obtain a catalogue database.
In the embodiment of the present invention, the data cleaning of the basic data is to screen data related to classification according to category labels in the updated data, for example, if the category labels are book content categories, the data cleaned by the data cleaning of the basic data may be the number of books, the date of publication, the publishing agency, etc.; if the category label is the category of the year of the book, the data cleaned by the basic data through data cleaning can be the number of books, a publisher, a book bar code and the like.
In the embodiment of the invention, the classification model can be different according to different classifications, if the classification model is classified according to book content, the classification model can be a CNN model of a pre-training word2vec model, a multinomial distributed naive Bayes and the like, and the cleaning data is subjected to coding, convolution, full connection and other calculations through the model to output the category corresponding to the cleaning data; if the book year is classified, the classification model can be a basic data classification model, and the cleaning data is classified according to the book year, so as to obtain the year interval category corresponding to the cleaning data.
In the embodiment of the invention, consistency test is carried out on borrowing data and reader data, so that the accuracy of the borrowing record library data is ensured.
In the embodiment of the invention, consistency check of the borrowing relation in the borrowing data and the history record in the reader data can be realized by verifying the borrower and the borrowing bibliography in the borrowing relation and the reader and the corresponding history bibliography in the history record.
Specifically, the embodiment of the invention can select a group of borrowing relations from the borrowing relations one by one as a target borrowing relation, extract borrowers and borrowed books in the target borrowing relations, and judge that consistency test is not passed if the borrowers cannot be searched in the reader data; and if the history record can be searched, extracting a history record of the searched reader, searching the borrowing books in the history record, if the history record can not be searched, judging that the consistency test is not passed, and if the history record can be searched, judging that the consistency test is passed.
S3, generating user portraits of each reader based on the borrowing data and the reader data, carrying out portraits matching according to the user portraits to obtain recommended books of each reader, and sorting the recommended data and the reader data to obtain a reader information base.
In the embodiment of the invention, the user portrait refers to a labeled user model abstracted according to information such as user attributes, user preferences, borrowing habits, user behaviors and the like, the labels are highly refined feature identifications obtained by analyzing the user information, and the users can be described by marking some highly summarized and easily understood features, so that the user portrait is convenient to calculate and process.
Referring to fig. 3, in the embodiment of the present invention, the generating, based on the borrowing data and the reader data, a user portrait of each reader includes:
s31, dividing the borrowing data and the reader data into dimension data of a plurality of portrait dimensions;
s32, clustering the dimension data in the portrait dimension to form at least two class clusters, and determining label names corresponding to the class clusters respectively;
s33, detecting target class clusters to which the dimension data of each reader in the portrait dimension belong according to each reader in the reader data, and forming user portraits of the readers by utilizing the tag names respectively corresponding to the target class clusters.
In the embodiment of the invention, the borrowing data may include a plurality of groups of borrower data, borrowed book data, and the like, and the reader data may include a plurality of groups of reader personal data, reader book record data, and the like, so that the data needs to be dimension-divided according to different data types.
In the embodiment of the invention, the user portrait information of a reader can contain a plurality of dimension data, such as book data, borrowing time data and the like, and each dimension data can have a possibility of a plurality of clusters, for example, under the dimension data of the book data, the corresponding target cluster can be a science popularization book, an education book and the like. Therefore, different user portraits are formed through different dimensions contained by different readers and different types of clusters corresponding to the different dimensions.
In the embodiment of the invention, the image matching is performed according to the user image to obtain the recommended books of each reader, which comprises the following steps:
selecting one of the user portraits as a target portraits, and taking the user portraits except the target portraits as portraits to be matched;
according to the similarity calculation of the target image and the images to be matched, selecting the images to be matched, of which the similarity calculation results are larger than a threshold value, as a reference image group;
and determining a recommended bibliography according to book attribute data of each user portrait in the reference portrait group.
The embodiment of the invention can calculate the similarity between the target image and the image to be matched by using a similarity calculation formula, wherein the similarity calculation formula comprises, but is not limited to, a Pelson calculation formula and a cosine similarity formula.
The embodiment of the invention can adopt a clustering algorithm to perform clustering processing on the user portraits with the similarity calculation results larger than the threshold value so as to obtain the reference portraits group, wherein the clustering algorithm comprises but is not limited to a K-center clustering algorithm.
In the embodiment of the invention, the user portrait of the reader can be generated by utilizing a big data technology, and the recommended data can be obtained through the user portrait of the reader, so that the library cluster data are enriched, the user experience of the reader is improved, and the intelligentization of book management is realized.
And S4, the reader information base, the cataloging database and the borrowing record base are sent to each cluster system.
In the embodiment of the invention, the generated reader information base, the cataloging database and the borrowing record base can be transmitted to each cluster system according to the data transmission interface of each cluster system so as to realize data sharing and data circulation among the cluster systems and expand the data volume of each cluster system.
S5, receiving a terminal request of the target cluster system, and identifying a request type of the terminal request.
In the embodiment of the invention, the terminal request can be sourced from any cluster system in a library cluster system list, can be initiated by a client terminal or a background terminal, and the request type of the terminal request can be different according to different terminal request requirements.
In the embodiment of the present invention, the identifying the request type of the terminal request includes:
extracting service type parameters from a preset position requested by the terminal;
and carrying out key field identification on the service type parameter to obtain the corresponding request type.
The embodiment of the invention can extract the service type parameters at the preset position requested by the terminal by utilizing a resolver, wherein the resolver comprises but is not limited to Carakan C/C++, squirrel FishC++ and Squirrel Fisheremec++; the embodiment of the invention uses the analyzer to analyze the extracted data, which contains the data corresponding to the service type parameter, and the position of the data in the extracted data can be a certain preset position fixed in the request.
And if the terminal request is a book reference request, executing S6, analyzing the book reference request to obtain book information, searching in the cataloging database and the reader information base according to the book information, and returning a search result to the corresponding terminal of the target cluster system.
In the embodiment of the invention, the book consulting request is a consulting request for books, and can be used for knowing basic information, basic contents, library collection, borrowability and the like of books.
In the embodiment of the present invention, the analyzing the book reference request to obtain book information includes:
splitting the book reference request to obtain a request body, and identifying a request body data class in the book reference request;
acquiring a request body method corresponding to the request body data class, and constructing a request body extraction statement according to the request body method;
and executing the request body extraction statement to extract a request message header in the book reference request, and carrying out data analysis on the message header to obtain book information.
The embodiment of the invention can determine the request header data class in the book reference request by traversing the book reference request, and then carry out information tracing and sentence construction on the request header according to the request body data class, thereby obtaining the request message header and the book information obtained by analysis.
In the embodiment of the invention, after the book information in the book consulting request is obtained, the target book which is required to be consulted by the terminal user can be obtained, and the related information of the target book can be consulted by compiling the catalogue database formed by each cluster system.
In an alternative embodiment of the invention, big data processing can be performed according to the obtained book information, data processing is performed according to a reader information base or a borrowing record base, a recommended book is generated, and the recommended book can be returned to a corresponding terminal when a search result is returned.
And if the terminal request is a book borrowing request, executing S7, analyzing the book borrowing request to obtain a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base to obtain a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowing book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system.
In the embodiment of the invention, the book borrowing request is a borrowing request of a terminal user for a certain book or basic book; if a book borrowing request is initiated, terminal borrower information needs to be determined, and disorder of borrowing records is prevented.
In the embodiment of the present invention, the process of analyzing the book borrowing request to obtain the borrowed book and the borrower is similar to the process of analyzing the book review request in the above step S6 to obtain the book information, which is not repeated herein.
In the embodiment of the present invention, the book searching and authority verification are performed on the borrowed book and the borrower by using the cataloging database and the reader information base, respectively, to obtain a borrowing result, including:
Searching in the cataloging database according to the borrowed books;
if the borrowed books cannot be retrieved, judging that the borrowing fails;
if the borrowed books can be retrieved, extracting borrowing credits of the borrowers from the reader information base;
judging whether the borrowing information is larger than a preset threshold value or not;
if the borrowing information is smaller than or equal to a preset threshold value, determining that the borrower does not have the borrowing authority, and judging that the borrowing fails;
if the borrowing information is larger than a preset threshold, determining that the borrower has the borrowing authority, and judging that the borrowing is successful.
In the embodiment of the present invention, the updating the basic data of the target cluster system according to the borrowing result, the borrowing book and the borrower includes:
generating borrowing records according to the borrowing results, the borrowing books and the borrowers;
judging whether the borrowing result is successful or failed;
if the borrowing result is that the borrowing fails, uploading the borrowing record to borrowing data in the basic data;
if the borrowing result is that the borrowing is successful, adding book records in reader data in the basic data, performing data adjustment in the quantity attribute in the book data, and uploading the borrowing records to the borrowing data in the basic data.
In the embodiment of the invention, after the borrowing result is obtained, the recommended books obtained according to the user image matching can be searched in the reader information base according to the borrower, and the recommended books are sent to the corresponding terminals of the target cluster system, so that the user experience of the terminal user is improved, and the library functions are enriched.
And if the terminal request is a book return request, executing S8, analyzing the book return request to obtain a returned book and a return person, carrying out information verification according to the returned book and the return person by using the borrowing record library, and updating the basic data of the target cluster system according to a verification result.
In the embodiment of the present invention, the process of analyzing the book return request to obtain the returned book and the returned person is similar to the process of analyzing the book reference request in the above step S6 to obtain the book information and the process of analyzing the book borrowing request in the above step S7 to obtain the borrowed book and the borrowed person, which are not repeated herein.
In the embodiment of the present invention, the information verification is performed by using the borrowing record library according to the return book and the return person, and the basic data of the target cluster system is updated according to the verification result, including:
Searching in the borrowing record base according to the returned books;
if the returned book can not be retrieved, judging that verification fails;
if the returned books can be retrieved, judging that the verification is successful, and updating borrowing data in the basic data;
and extracting borrowing time through the retrieved borrowing record, calculating a difference value according to the borrowing time and preset returning time, and adjusting the borrowing credit of the returning person by utilizing the difference value.
The embodiment of the invention realizes the data sharing of the whole library cluster by collecting the data of each library cluster system; library cluster cataloging databases, borrowing record libraries and reader information libraries are formed by carrying out book assembly, borrowing arrangement and recommendation book generation based on reader user portraits on basic data of each cluster system, and a library cluster data sharing library is constructed; judging the type of the terminal request by responding to the terminal request of a certain cluster, and further mobilizing each database of the whole library cluster to comprehensively analyze the terminal request, so that the data linkage among library cluster systems is realized; and the analysis result is returned to the terminal, or the basic data of the cluster system is updated according to the analysis result, so that the data circulation flow among library cluster systems is realized, and the efficiency of book management is improved. Therefore, the library cluster-based book management method provided by the invention can solve the problems of low resource mobility, low resource sharing rate and low book management efficiency among libraries.
FIG. 4 is a functional block diagram of a library cluster-based book management apparatus according to an embodiment of the present invention.
The library cluster-based book management apparatus 100 of the present invention may be installed in an electronic device. According to the implemented functions, the library cluster-based book management device 100 may include a cluster system data acquisition module 101, a shared database generation module 102, a database sharing module 103, a terminal request identification module 104, a book reference request processing module 105, a book borrowing request processing module 106, and a book return request processing module 107. The module of the invention, which may also be referred to as a unit, refers to a series of computer program segments, which are stored in the memory of the electronic device, capable of being executed by the processor of the electronic device and of performing a fixed function.
In the present embodiment, the functions concerning the respective modules/units are as follows:
the cluster system data acquisition module 101 is configured to acquire a library cluster system list, and acquire basic data of each cluster system in the library cluster system list, where the basic data includes book data, borrowing data and reader data;
The shared database generating module 102 is configured to jointly assemble the book data according to a preset category label to obtain a catalogue database, perform consistency check according to a borrowing relationship in the borrowing data and a history record in the reader data, and store the checked data to a preset borrowing record library; generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
the database sharing module 103 is configured to send the reader information base, the cataloging database and the borrowing record base to each cluster system;
the terminal request identifying module 104 is configured to receive a terminal request of a target cluster system, and identify a request type of the terminal request;
the book reference request processing module 105 is configured to parse the book reference request to obtain book information when the terminal request is a book reference request, search the catalogue database and the reader information base according to the book information, and return a search result to a corresponding terminal of the target cluster system;
The book borrowing request processing module 106 is configured to parse the book borrowing request to obtain a borrowed book and a borrower when the terminal request is a book borrowing request, and perform book retrieval and authority verification on the borrowed book and the borrower by using the inventory database and the reader information base, to obtain a borrowing result, update basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and return the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
the book return request processing module 107 is configured to parse the book return request to obtain a return book and a return person when the terminal request is a book return request, perform information verification according to the return book and the return person by using the borrowing record library, and update the basic data of the target cluster system according to the verification result.
In detail, the modules in the library-cluster-based book management apparatus 100 in the embodiment of the present invention use the same technical means as the library-cluster-based book management method described in fig. 1 to 3, and can produce the same technical effects, which are not described herein.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a library cluster-based book management method according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program stored in the memory 11 and executable on the processor 10, such as a library cluster based book management program.
The processor 10 may be formed by an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be formed by a plurality of integrated circuits packaged with the same function or different functions, including one or more central processing units (Central Processing Unit, CPU), a microprocessor, a digital processing chip, a graphics processor, a combination of various control chips, and so on. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the entire electronic device using various interfaces and lines, executes programs or modules stored in the memory 11 (e.g., executes library cluster-based book management programs, etc.), and invokes data stored in the memory 11 to perform various functions of the electronic device and process data.
The memory 11 includes at least one type of readable storage medium including flash memory, a removable hard disk, a multimedia card, a card type memory (e.g., SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, such as a mobile hard disk of the electronic device. The memory 11 may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only for storing application software installed in an electronic device and various types of data, such as codes of library cluster-based book management programs, etc., but also for temporarily storing data that has been output or is to be output.
The communication bus 12 may be a peripheral component interconnect standard (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. The bus is arranged to enable a connection communication between the memory 11 and at least one processor 10 etc.
The communication interface 13 is used for communication between the electronic device and other devices, including a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), or alternatively a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch, or the like. The display may also be referred to as a display screen or display unit, as appropriate, for displaying information processed in the electronic device and for displaying a visual user interface.
Fig. 5 shows only an electronic device with components, it being understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or may combine certain components, or may be arranged in different components.
For example, although not shown, the electronic device may further include a power source (such as a battery) for supplying power to the respective components, and preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management, and the like are implemented through the power management device. The power supply may also include one or more of any of a direct current or alternating current power supply, recharging device, power failure detection circuit, power converter or inverter, power status indicator, etc. The electronic device may further include various sensors, bluetooth modules, wi-Fi modules, etc., which are not described herein.
It should be understood that the embodiments described are for illustrative purposes only and are not limited to this configuration in the scope of the patent application.
The library cluster-based book management program stored in the memory 11 of the electronic device 1 is a combination of instructions that, when executed in the processor 10, may implement:
acquiring a library cluster system list, and acquiring basic data of each cluster system in the library cluster system list, wherein the basic data comprises book data, borrowing data and reader data;
The book data are assembled in a combined mode according to preset category labels, a cataloging database is obtained, consistency check is conducted according to borrowing relations in borrowing data and historical records in reader data, and checked data are stored into a preset borrowing record database;
generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
the reader information base, the cataloging database and the borrowing record base are sent to each cluster system;
receiving a terminal request of a target cluster system, and identifying a request type of the terminal request;
if the terminal request is a book consulting request, analyzing the book consulting request to obtain book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
if the terminal request is a book borrowing request, analyzing the book borrowing request to obtain a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base to obtain a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
If the terminal request is a book return request, analyzing the book return request to obtain a returned book and a returned person, verifying information by using the borrowing record library according to the returned book and the returned person, and updating basic data of the target cluster system according to a verification result.
In particular, the specific implementation method of the above instructions by the processor 10 may refer to the description of the relevant steps in the corresponding embodiment of the drawings, which is not repeated herein.
Further, the modules/units integrated in the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or nonvolatile. For example, the computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer readable storage medium storing a computer program which, when executed by a processor of an electronic device, can implement:
Acquiring a library cluster system list, and acquiring basic data of each cluster system in the library cluster system list, wherein the basic data comprises book data, borrowing data and reader data;
the book data are assembled in a combined mode according to preset category labels, a cataloging database is obtained, consistency check is conducted according to borrowing relations in borrowing data and historical records in reader data, and checked data are stored into a preset borrowing record database;
generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
the reader information base, the cataloging database and the borrowing record base are sent to each cluster system;
receiving a terminal request of a target cluster system, and identifying a request type of the terminal request;
if the terminal request is a book consulting request, analyzing the book consulting request to obtain book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
If the terminal request is a book borrowing request, analyzing the book borrowing request to obtain a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base to obtain a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
if the terminal request is a book return request, analyzing the book return request to obtain a returned book and a returned person, verifying information by using the borrowing record library according to the returned book and the returned person, and updating basic data of the target cluster system according to a verification result.
In the several embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be other manners of division when actually implemented.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units can be realized in a form of hardware or a form of hardware and a form of software functional modules.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The Blockchain (Blockchain), which is essentially a decentralised database, is a string of data blocks that are generated by cryptographic means in association, each data block containing a batch of information of network transactions for verifying the validity of the information (anti-counterfeiting) and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
The embodiment of the application can acquire and process the related data based on the artificial intelligence technology. Among these, artificial intelligence (Artificial Intelligence, AI) is the theory, method, technique and application system that uses a digital computer or a digital computer-controlled machine to simulate, extend and extend human intelligence, sense the environment, acquire knowledge and use knowledge to obtain optimal results.
Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the system claims can also be implemented by means of software or hardware by means of one unit or means. The terms first, second, etc. are used to denote a name, but not any particular order.
Finally, it should be noted that the above-mentioned embodiments are merely for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications and equivalents may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (10)
1. A library cluster-based book management method, the method comprising:
acquiring a library cluster system list, and acquiring basic data of each cluster system in the library cluster system list, wherein the basic data comprises book data, borrowing data and reader data;
the book data are assembled in a combined mode according to preset category labels, a cataloging database is obtained, consistency check is conducted according to borrowing relations in borrowing data and historical records in reader data, and checked data are stored into a preset borrowing record database;
generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
The reader information base, the cataloging database and the borrowing record base are sent to each cluster system;
receiving a terminal request of a target cluster system, and identifying a request type of the terminal request;
if the terminal request is a book consulting request, analyzing the book consulting request to obtain book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
if the terminal request is a book borrowing request, analyzing the book borrowing request to obtain a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base to obtain a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
if the terminal request is a book return request, analyzing the book return request to obtain a returned book and a returned person, verifying information by using the borrowing record library according to the returned book and the returned person, and updating basic data of the target cluster system according to a verification result.
2. The library-cluster-based book management method of claim 1, wherein the collecting basic data of each cluster system in the library cluster system list comprises:
setting a plurality of cluster systems as a main cluster system and a subset cluster system, and acquiring the IP addresses, interface information and data acquisition configuration files of the subset cluster systems;
generating a data acquisition interface according to the data acquisition configuration file, and initiating an interface registration request to the main cluster system through the IP address and the interface information;
and after successful registration, opening the data acquisition interface to the main cluster system, and acquiring basic data by utilizing the data acquisition interface.
3. The library cluster-based book management method of claim 1, wherein the assembling the book data in a joint manner according to a preset category label to obtain a catalogue database comprises:
extracting book names in the book data, and selecting one target book data from the book data one by one;
repeatedly searching according to the book names of the target book data, and updating the book quantity of the target book data according to the searching result to obtain updated data;
Carrying out data cleaning on the updated data according to the category label to obtain cleaning data;
outputting the cleaning data into a preset classification model, and outputting the cleaning data and corresponding categories;
and performing list arrangement according to the category corresponding to the cleaning data and the updating data to obtain a catalogue database.
4. The library cluster-based book management method of claim 1, wherein the generating a user representation of each reader based on the borrowing data and the reader data comprises:
dividing the borrowing data and the reader data into dimension data of a plurality of portrait dimensions;
clustering the dimension data in the portrait dimension to form at least two class clusters aiming at each portrait dimension, and determining label names corresponding to the class clusters respectively;
and detecting target class clusters to which the dimension data of each reader under each portrait dimension belong according to each reader in the reader data, and forming user portraits of the readers by utilizing the tag names respectively corresponding to the target class clusters.
5. The library cluster-based book management method of claim 1, wherein said performing portrait matching based on said user portraits to obtain recommended books for each reader comprises:
Selecting one of the user portraits as a target portraits, and taking the user portraits except the target portraits as portraits to be matched;
according to the similarity calculation of the target image and the images to be matched, selecting the images to be matched, of which the similarity calculation results are larger than a threshold value, as a reference image group;
and determining a recommended bibliography according to book attribute data of each user portrait in the reference portrait group.
6. The library cluster-based book management method of claim 1, wherein said parsing the book reference request to obtain book information comprises:
splitting the book reference request to obtain a request body, and identifying a request body data class in the book reference request;
acquiring a request body method corresponding to the request body data class, and constructing a request body extraction statement according to the request body method;
and executing the request body extraction statement to extract a request message header in the book reference request, and carrying out data analysis on the message header to obtain book information.
7. The library-cluster-based book management method of any one of claims 1 to 6, wherein said utilizing the borrowing record library to perform information verification based on the return book and the return person, and updating the basic data of the target cluster system based on the verification result, comprises:
Searching in the borrowing record base according to the returned books;
if the returned book can not be retrieved, judging that verification fails;
if the returned books can be retrieved, judging that the verification is successful, and updating borrowing data in the basic data;
and extracting borrowing time through the retrieved borrowing record, calculating a difference value according to the borrowing time and preset returning time, and adjusting the borrowing credit of the returning person by utilizing the difference value.
8. A library cluster-based book management apparatus, the apparatus comprising:
the system comprises a cluster system data acquisition module, a library cluster system list and a library database, wherein the cluster system data acquisition module is used for acquiring basic data of each cluster system in the library cluster system list, and the basic data comprise book data, borrowing data and reader data;
the shared database generation module is used for carrying out joint assembly on the book data according to a preset category label to obtain a catalogue database, carrying out consistency check according to the borrowing relation in the borrowing data and the history record in the reader data, and storing the checked data to a preset borrowing record library; generating a user portrait of each reader based on the borrowing data and the reader data, carrying out portrait matching according to the user portrait to obtain a recommended title of each reader, and sorting the recommended data and the reader data to obtain a reader information base;
The database sharing module is used for sending the reader information base, the cataloging database and the borrowing record base to each cluster system;
the terminal request identification module is used for receiving a terminal request of the target cluster system and identifying a request type of the terminal request;
the book consulting request processing module is used for analyzing the book consulting request when the terminal request is a book consulting request, obtaining book information, searching in the cataloging database and the reader information base according to the book information, and returning a searching result to a corresponding terminal of the target cluster system;
the book borrowing request processing module is used for analyzing the book borrowing request when the terminal request is a book borrowing request, obtaining a borrowed book and a borrower, respectively carrying out book retrieval and authority verification on the borrowed book and the borrower by utilizing the cataloging database and the reader information base, obtaining a borrowing result, updating basic data of the target cluster system according to the borrowing result, the borrowed book and the borrower, and returning the borrowing result and recommended books corresponding to the borrower to corresponding terminals of the target cluster system;
And the book return request processing module is used for analyzing the book return request when the terminal request is a book return request, obtaining a return book and a return person, carrying out information verification according to the return book and the return person by utilizing the borrowing record library, and updating the basic data of the target cluster system according to a verification result.
9. An electronic device, the electronic device comprising:
at least one processor; the method comprises the steps of,
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the library cluster-based book management method of any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the library cluster-based book management method according to any one of claims 1 to 7.
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| CN117132239B (en) * | 2023-09-25 | 2024-05-14 | 孟子研究院 | Dynamic interactive comprehensive management system and method for data resources |
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