CN115953280A - Intelligent library management system - Google Patents
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- CN115953280A CN115953280A CN202211586415.2A CN202211586415A CN115953280A CN 115953280 A CN115953280 A CN 115953280A CN 202211586415 A CN202211586415 A CN 202211586415A CN 115953280 A CN115953280 A CN 115953280A
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Abstract
The invention provides an intelligent library management system, which comprises: the system comprises a face recognition subsystem, a retrieval subsystem, a book borrowing subsystem, a book returning subsystem and an appointment seat subsystem; the face identification subsystem comprises a face verification module and a book borrowing rule generation module; the retrieval subsystem comprises a query module and a reading module; the reading module is used for clicking a reading button to read the book on line after inquiring the relevant information of the book in the search box; the book borrowing subsystem comprises a network book borrowing module and a field book borrowing module; the reserved seat subsystem includes a network reservation module and a field reservation module. The method and the system have the advantages that different book borrowing and returning rules can be generated for different users when the users borrow and return books in the library, information of the users can be effectively guaranteed not to be stolen, the rights and interests of the users are further guaranteed, the phenomenon that the users occupy seats can be greatly avoided, and the utilization rate of the library is greatly improved.
Description
Technical Field
The invention relates to the technical field of intelligent management, in particular to an intelligent library management system.
Background
With the coming of the information era, the requirements of people on information learning and retrieval are improved, the number of books is increased day by day, and the workload of book return management and seat management of a library is increased after library staff borrow books, so that the manpower demand of the book management staff is increased. Specifically, due to the fact that the types of books in a library are complicated, the number of books is large, when a user conducts operation of borrowing and returning books in the library, the user usually directly scans the books needing to be borrowed/returned after scanning the one-card, and then borrowing and returning the books are completed, however, the one-card is prone to being lost, the one-card can be stolen, and a series of consequences generated after the one-card is stolen need to be borne by an original owner. In addition, with the recent extension of many colleges and universities, the library seats have short supply and short demand, and particularly in the end-of-term examination week and examination period, the library seats are more tense, which greatly affects the learning efficiency of students.
The above problems are currently in need of solution.
Disclosure of Invention
The present invention overcomes at least one of the above-mentioned disadvantages of the prior art and provides an intelligent library management system, the system comprising: the system comprises a face recognition subsystem, a retrieval subsystem, a book borrowing subsystem, a book returning subsystem and an appointment seat subsystem; the face identification subsystem comprises a face verification module and a book borrowing rule generation module; the face verification module is used for determining identity information of a user based on a face recognition technology; the book borrowing rule generating module is used for generating different book borrowing rules corresponding to the identity information of different users on the basis of the identity information of the different users; the retrieval subsystem comprises a query module and a reading module; the query module is used for inputting the book name, author and/or related information of the book which can be queried by the publishing company in the search box; the reading module is used for clicking a reading button to read the book on line after inquiring the relevant information of the book in the search box; the book borrowing subsystem comprises a network book borrowing module and a field book borrowing module; the network book borrowing module is used for borrowing books on line; the field book borrowing module is used for performing offline book borrowing by scanning book electronic tags; the book returning subsystem is used for performing offline book returning through scanning the electronic label of the book; the reserved seat subsystem includes a network reservation module and a field reservation module.
Further, the identity information of the user comprises one or a combination of the name, the contact information, the position of the user and the card borrowing information of the user.
Further, the position of the user comprises that the user is one or a combination of a student, a staff and a tourist; the user is defaulted to a guest when the identity information of the user cannot be recognized.
Further, the book borrowing rule comprises: one or a combination of the book borrowing time, the book borrowing type, the book borrowing quantity and the punishment of books which are not yet in due date.
Further, the face recognition subsystem further comprises: the display module is used for displaying book borrowing rules corresponding to the user; and the notification module is used for sending a book returning prompt to the user when the time from the book borrowing time reaches a preset threshold value.
Further, the related information of the book includes: the book information, the borrowing information, the borrowable number information, the book position information and the time information of book return or the combination thereof.
Further, the network book borrowing module comprises: the login module is used for acquiring the identity information of the user through a user login account; the retrieval module is used for displaying the related information of the book when the book is searched; and the book reservation lending module is used for reserving book borrowing time.
Further, the field book borrowing module comprises: the book borrowing scanning gun is used for identifying the electronic tag and the intelligent book borrowing device; when the books to be borrowed are found from the bookshelf, the electronic tags of the books are scanned through the book borrowing scanning gun, and the in-store state of the books is updated so as to borrow the books.
Further, the electronic tags are attached to the books, wherein different books correspond to the unique electronic tags; the electronic tag is marked with relevant information of the book.
Further, the network reservation module is used for logging in by a user through the APP client, checking the plan reservation distribution condition of the seats, performing the preset selection of the seats according to the reservation distribution condition, and generating the seat number information according to the selection; reserving the seat based on the corresponding relation between the seat number information and the seat number; the field reservation module is used for generating a unique corresponding seat number by clicking a seat identifier in a plan reservation distribution diagram of the seat displayed on the display; reserving the seat based on the corresponding relation between the seat number information and the seat number.
The invention has the beneficial effects that: the invention provides an intelligent library management system, which comprises: the system comprises a face recognition subsystem, a retrieval subsystem, a book borrowing subsystem, a book returning subsystem and a seat reservation subsystem; the face identification subsystem comprises a face verification module and a book borrowing rule generation module; the face verification module is used for determining identity information of a user based on a face recognition technology; the book borrowing rule generation module is used for generating different book borrowing rules corresponding to the identity information of different users based on the identity information of the different users; the retrieval subsystem comprises a query module and a reading module; the query module is used for inputting the book name, author and/or related information of the book which can be queried by the publishing company in the search box; the reading module is used for clicking a reading button to read the book on line after inquiring the relevant information of the book in the search box; the book borrowing subsystem comprises a network book borrowing module and a field book borrowing module; the network book borrowing module is used for borrowing books on line; the field book borrowing module is used for performing offline book borrowing by scanning book electronic tags; the book returning subsystem is used for performing offline book returning by scanning the book electronic tag; the reserved seat subsystem includes a network reservation module and a field reservation module. The method and the system can enable the user to generate different book borrowing and returning rules for different users when the user borrows and returns the book in the library, and can effectively ensure that the information of the user cannot be stolen through the face recognition technology, thereby further ensuring the rights and interests of the user. In addition, the seat selection system can greatly avoid the phenomenon that a user occupies a seat, and greatly improves the utilization rate of the library.
Drawings
The invention is further illustrated by the following examples in conjunction with the drawings.
Fig. 1 is a schematic diagram of an intelligent library management system according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of an intelligent library management system according to another embodiment of the present invention.
Detailed Description
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations as a sequential process, many of the operations can be performed in parallel, concurrently, or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but could have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, subprograms, and the like.
It will be understood that, although the terms first, second, etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another. For example, a first element may be termed a second element, and, similarly, a second element may be termed a first element, without departing from the scope of example embodiments. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The present invention will now be described in detail with reference to the accompanying drawings. This figure is a simplified schematic diagram, and only illustrates the basic structure of the present invention in a schematic manner, and therefore it only shows the constitution related to the present invention.
Examples
Referring to fig. 1, an intelligent library management system according to an embodiment of the present invention includes: the system comprises a face recognition subsystem, a retrieval subsystem, a book borrowing subsystem, a book returning subsystem and a seat reservation subsystem.
As an example, the face recognition subsystem comprises a face verification module and a book borrowing rule generation module, wherein the face verification module is used for determining the identity information of the user based on face recognition technology; the book borrowing rule generation module is used for generating different book borrowing rules corresponding to the identity information of different users based on the identity information of the different users.
Optionally, the identity information of the user includes one or a combination of a name, a contact address, a position of the user, and debit card information of the user.
Optionally, when a user enters a library, the user obtains face image information of the user through a camera installed on a library gate, the obtained face image information is identified based on a face identification technology to further obtain the face information of the user, and the user identity information, such as the name, contact mode, position, whether to transact a borrowing card, and the like of the user, corresponding to the face information and stored in the server is called based on the face information of the user. The position information of the user can include information that the user is a student, a professor and/or a library staff. The purpose of obtaining the identity information of the user is to facilitate the generation of different rules for borrowing books based on different users, so that the management of the library is more targeted. And when the identity information corresponding to the user cannot be matched based on the face recognition technology, the user is defaulted to enter the library in the identity of the visitor. The corresponding relation between the identity information of the user and the face information of the user is pre-stored in the server, for example, the face information and the identity information of a student or a teaching worker are directly input into the server for storage when the student or the teaching worker enters a school.
Optionally, the book borrowing rule includes: one or a combination of the book borrowing time, the book borrowing type, the book borrowing quantity and the punishment of books which are not yet in due date.
Optionally, based on the acquired identity information of different users, when the user performs a book borrowing and returning operation in the library, a book borrowing rule corresponding to the identity information is generated based on the identity information of the user. And if the obtained identity information of the user is three books of the student, automatically generating a book borrowing rule corresponding to the identity information, and if the type of the books which can be borrowed by the student is the A-U type of the books in the library, the borrowing time is 7 working days, the book borrowing quantity is two books, and if the book is not overdue, deducting the credit score of 5 minutes and deducting the sum of 10 yuan. If the obtained identity information of the user is teacher's luggage, book borrowing rules corresponding to the user are automatically generated, if the types of books that the teacher can borrow are the A-Z types of books in the library, the borrowing time is 14 working days, the number of borrowed books is four, and if the book is not yet overdue, credit points of the book are deducted by 5 points, and the sum of money is deducted by 10 yuan. If the obtained identity information of the user is the tourist, the book borrowing rule corresponding to the identity information can be automatically generated, and if the tourist cannot borrow books in the library, the tourist can only read the corresponding books in the library. The initial reputation score can be given to different users in advance, and can be set as 100 points, and when the reputation score is less than 50 points, book borrowing operation cannot be performed in the library, and the reputation score can be automatically refreshed every term. It should be noted that the setting of the reputation score may be set autonomously by a person skilled in the relevant art, and is not limited herein.
Optionally, the face recognition subsystem further includes: the display module is used for displaying book borrowing rules corresponding to the user; and the notification module is used for sending a book returning prompt to the user when the time from the book borrowing time reaches a preset threshold value.
Optionally, the book borrowing rule corresponding to the identity information of the user can be displayed on a display screen for the user to view, and the reputation score of the user and/or the balance information of the user can be synchronously displayed on the display screen, so that the user can complain to a manager of the library when the user disagrees with the displayed information, and the benefit of the user is ensured not to be infringed.
Optionally, when the time for the user to borrow the book exceeds a preset time threshold, a book return reminder is sent to the user. If the preset time threshold is 5 days, if the borrowing time of the user is 7 days, when the user does not return the book for more than 5 days, the book return reminding is sent to the user through the contact way corresponding to the identity information of the user, the user can return the book to the library by himself after receiving the book return reminding, and the situation that the user forgets to return the book and the loss is caused is avoided.
Different borrowing rules are generated for different users, so that the management of the library is more targeted.
By way of example, the retrieval subsystem includes a query module and a reading module; the query module is used for inputting the book name, author and/or related information of the book which can be queried by the publishing company in the search box; the reading module is used for clicking the reading button to read the book on line after inquiring the relevant information of the book in the search box.
Optionally, the related information of the book includes one or a combination of book information, borrowing information, borrowable book quantity information, book position information, and book return waiting time information of the book.
Optionally, when the user inputs the name of the book, the author and/or the publishing company in the search box, the book information, the borrowing information, the borrowable number information, the book location information, the book return time information and the like of the book can be inquired, the user can select the book to be borrowed based on the information, and the storage location of the book is obtained. The borrowable book quantity information is the difference between the existing stock of the book in the library and the borrowed quantity, that is, some books are not borrowed out of the library at the moment but may be being read by some people in the library, so that the part of books are also under the condition that the books cannot be borrowed, when the borrowable quantity of the books is counted, the quantity of the books being read needs to be considered, the quantity of the part can be determined through a scanner arranged on a bookshelf of the library, if the books need to be taken down from the bookshelf in the library, the electronic tags of the books need to be scanned, so that the remaining quantity of the books on the bookshelf can be counted, when the books need to be returned after being read, the electronic tags need to be scanned, and the remaining quantity of the books on the bookshelf is also counted. Therefore, the situation that the book does not exist when the user inquires the book with the surplus but finds that the book does not exist when the user arrives at the storage position of the book can be effectively avoided, and the time of the user is prevented from being wasted. The RFID technology has the advantages of water resistance, magnetism prevention, high temperature resistance, long service life, large reading distance, capability of encrypting data on the label, larger storage data capacity, free change of stored information and the like, which are not possessed by the bar code. Thus, by posting RFID tags on books rather than using bar codes, individual, very specific objects can be identified, unlike bar codes, which can only identify one type of object; a plurality of objects can be identified and read at the same time, but the bar codes can not be read one by one; the amount of information stored is large; with radio frequency, data can be read through external materials, and bar codes must read information on the surface of material media by laser or infrared.
Optionally, if the user inquires that the remaining inventory of the book is zero, the user may click on-line reading to watch the book on line, but since the on-line reading takes a long time and may affect the use of the subsequent user, the user may transmit the electronic version of the book to the mobile terminal of the user in a payment manner for the subsequent reading of the user.
As an example, the book borrowing subsystem comprises a network book borrowing module and a field book borrowing module; the network book borrowing module is used for borrowing books on line; the field book borrowing module is used for borrowing books under a line by scanning electronic labels of the books.
Optionally, the network book borrowing module includes: the login module is used for acquiring the identity information of the user through a user login account; the retrieval module is used for displaying the related information of the book when searching the book; and the book reservation lending module is used for reserving book lending time.
Optionally, the user logs in his account information on the APP client, based on the account information, the identity information of the user can be acquired, based on the identity information of the user, a book borrowing rule corresponding to the user can be generated, when the user inputs a book to be borrowed in the search box, the related information of the book, such as borrowable quantity information of the book, time information to be returned and the like, can be directly displayed on the client, when the borrowable quantity information of the book is 0, the user can reserve book borrowing time according to the time to be returned of the book, and when the reserved book borrowing time is reached, the user can directly borrow the book in the library. For example, when the number of books that the user wants to borrow is 0, the time to be returned is 2022.11.1/2022.11.5/2022.11.20/2022.11.30, and the like, the user can select the book borrowing time to be reserved to be 2022.11.20 according to actual requirements, and the user can go to the library to obtain the books on the day of 11.20. Optionally, if the user does not go to the library to borrow the book at the reserved book borrowing time, the corresponding credit score of the user is deducted, and the book is marked as a rentable state.
Optionally, the field book borrowing module comprises: the book borrowing device is used for identifying the electronic tag and comprises a book borrowing scanning gun and an intelligent book borrowing device; when the books to be borrowed are found from the bookshelf, the electronic tags of the books are scanned through the book borrowing scanning gun, and the in-store state of the books is updated so as to borrow the books. The electronic tags are attached to the books, wherein different books correspond to unique electronic tags, and the electronic tags mark the related information of the books, that is, the related information of the books uniquely corresponding to the books can be acquired by scanning the electronic tags attached to the books. The user finds out the books needed to be borrowed from the bookshelf through the acquired storage positions on the books, then scans through the book borrowing scanning gun, updates the in-library state of the books so as to borrow the books, the state is transmitted to the server side, and the server automatically updates the related state of the books.
As an example, the book return subsystem is used for performing offline book return by scanning a book electronic tag. The method comprises the following steps: the intelligent book returning device comprises an intelligent book returning device and a book returning scanning gun for identifying the electronic tag. When the user completes the book returning operation, the server automatically updates the book returning state of the user and automatically updates the stock of the books in the library.
Optionally, the book returning scanning gun and the book borrowing scanning gun may be the same scanning gun, and the intelligent book returning device and the intelligent book borrowing device may be the same device.
As an example, the reserved seat subsystem includes a network reservation module and a field reservation module.
Optionally, the network reservation module is configured to log in and check a plan view reservation distribution situation of a seat through the APP client, perform a predetermined selection of the seat according to the reservation distribution situation, generate seat number information according to the selection, and reserve the seat based on a corresponding relationship between the seat number information and a seat number. The seat number information includes a seat number and a reservation time. When the reservation ending time conflicts with the reservation starting time of other users, prompt information is sent to the users, the prompt information can be displayed on a display screen that the time period is an optional time period, and the users can change the reservation time by themselves through the prompt information, so that the situation that one seat is reserved by multiple people when different users reserve seats is avoided.
Optionally, when the user reserves seats on the network, the plan view reservation profile of the displayed seats includes seats that have been reserved and seats that have been occupied. The seats which have been reserved can be identified in blue, the seats which have been reserved can be identified in red, and the seats which can be reserved can be identified in gray. It should be noted that, the use of different color displays for different seat statuses is not limited herein, and the related technical personnel can change the related settings based on the actual requirements, for example, the seats that have been reserved can be marked with red and the seats that have been reserved can be marked with blue.
The system determines that a person is on a seat through a human body pyroelectric infrared sensor arranged on a desk and a pressure sensor arranged on a chair according to a preset test, and when the two thresholds exceed the preset thresholds, the system determines that the person is on the seat, and the color corresponding to the seat is red in the plan view reservation distribution condition of the seat displayed on a line. If the time for leaving the seat is greater than the preset time threshold, the user is considered to have left the seat, the seat is currently in an idle state, and the rest of users can occupy the seat, and the time threshold can be set to 15 minutes. It should be noted that the specific value of the time threshold is not limited herein, and the related art can modify the time threshold in the subsequent operation based on the actual requirement.
Optionally, in order to avoid the situation that the personal items of the user are lost and the system misjudges, when the user is determined to leave the seat, the system informs the manager to check the desktop condition of the corresponding seat, and if the personal items left on the desk are missed, the manager instead saves and informs the item owner to take the place. If the misjudgment occurs, the administrator can recover the use right of the user for the seat.
Optionally, when a user online reserves a certain seat but does not reach the seat within the reserved time period, the credit score corresponding to the user is automatically deducted, and when the credit score of the user is smaller than a threshold, the user cannot perform the operation of online seat reservation.
Optionally, the field reservation module is configured to click a seat identifier in a plan reservation distribution map of a seat displayed on the display to generate a seat number uniquely corresponding to the seat identifier; reserving the seat based on the corresponding relation between the seat number information and the seat number.
Optionally, if the credit score of the user is smaller than the threshold, the seat of the library can be reserved in a field reservation mode. For example, a user may reserve a seat for a certain period of time by using a seat reservation machine provided inside the library. This avoids a situation where the user cannot learn in the library because the reputation score is too low.
Through the scheme, the method and the device can enable the user to generate different book borrowing and returning rules for different users when the user borrows and returns the book in the library, and can effectively ensure that the information of the user cannot be stolen through the face recognition technology, so that the rights and interests of the user are further guaranteed. In addition, the seat selection system can greatly avoid the phenomenon that a user occupies a seat, and greatly improves the utilization rate of the library.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be defined by the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. An intelligent library management system, the system comprising: the system comprises a face recognition subsystem, a retrieval subsystem, a book borrowing subsystem, a book returning subsystem and a seat reservation subsystem;
the face identification subsystem comprises a face verification module and a book borrowing rule generation module; wherein
The face verification module is used for determining the identity information of the user based on a face recognition technology;
the book borrowing rule generation module is used for generating different book borrowing rules corresponding to the identity information of different users based on the identity information of the different users;
the retrieval subsystem comprises a query module and a reading module; wherein
The query module is used for inputting the book name, author and/or related information of the book which can be queried by the publishing company in the search box;
the reading module is used for clicking a reading button to read the book on line after inquiring the relevant information of the book in the search box;
the book borrowing subsystem comprises a network book borrowing module and a field book borrowing module; wherein
The network book borrowing module is used for borrowing books on line;
the field book borrowing module is used for performing offline book borrowing by scanning the book electronic tag;
the book returning subsystem is used for performing offline book returning by scanning the book electronic tag;
the reserved seat subsystem includes a network reservation module and a field reservation module.
2. The intelligent library management system of claim 1, wherein the identity information of the user comprises one or a combination of a name of the user, a contact address, a position of the user, and debit card information of the user.
3. The intelligent library management system of claim 2, wherein the position of the user comprises the user being one or a combination of a student, a staff member, and a visitor;
the user is defaulted to a guest when the identity information of the user cannot be recognized.
4. The intelligent library management system of claim 1, wherein the borrowing rules comprise: one or a combination of the book borrowing time, the book borrowing type, the book borrowing quantity and the punishment of books which are not yet in due date.
5. The intelligent library management system of claim 1, wherein the face recognition subsystem further comprises:
the display module is used for displaying book borrowing rules corresponding to the user; and
and the notification module is used for sending a book returning prompt to the user when the time from the book borrowing time reaches a preset threshold value.
6. The intelligent library management system of claim 1, wherein the information related to the book comprises: the book information, the borrowing information, the borrowable number information, the book position information and the time information of book return or the combination thereof.
7. The intelligent library management system of claim 1, wherein the network book borrowing module comprises:
the login module is used for acquiring the identity information of the user through a user login account;
the retrieval module is used for displaying the related information of the book when the book is searched;
and the book reservation lending module is used for reserving book borrowing time.
8. The intelligent library management system of claim 1, wherein the field borrowing module comprises:
the book borrowing device is used for identifying the electronic tag and comprises a book borrowing scanning gun and an intelligent book borrowing device;
when the books to be borrowed are found from the bookshelf, the electronic tags of the books are scanned through the book borrowing scanning gun, and the in-store state of the books is updated so as to borrow the books.
9. The intelligent library management system of claim 8, wherein the electronic tags are attached to the books, wherein different books correspond to unique electronic tags;
the electronic tag is marked with the relevant information of the book.
10. The intelligent library management system of claim 1, wherein the network reservation module is configured to log in and check a plan view reservation distribution of seats through the APP client, perform a predetermined selection of seats according to the reservation distribution, and generate seat number information according to the selection;
reserving the seat based on the corresponding relation between the seat number information and the seat number;
the field reservation module is used for generating a unique corresponding seat number by clicking a seat identifier in a plan reservation distribution diagram of the seat displayed on the display;
reserving the seat based on the corresponding relation between the seat number information and the seat number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202211586415.2A CN115953280A (en) | 2022-12-09 | 2022-12-09 | Intelligent library management system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211586415.2A CN115953280A (en) | 2022-12-09 | 2022-12-09 | Intelligent library management system |
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| CN115953280A true CN115953280A (en) | 2023-04-11 |
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| CN202211586415.2A Pending CN115953280A (en) | 2022-12-09 | 2022-12-09 | Intelligent library management system |
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