College library resource intelligent management system supported by big data and AI

Abstract

The invention discloses a college library resource intelligent management system under the support of big data and AI, and the system comprises a central server which is provided with a management system, and stores book information, student account information, and interaction data. And the management terminal interacts with the management system through network connection, and the management terminal is provided with a user operation interface. Through the AI book selection module, the system can provide personalized book recommendation for each student according to the reading preference and behavior data of the student, the user experience is improved, the automatic book sending module enables the student to submit a book borrowing and returning request through the management terminal, the student does not need to queue up at a library counter, the borrowing time is saved, and the user experience is improved. And through the intelligent book scheduling and automatic book sending module, the system can more effectively manage library resources, so that the books can be timely returned and re-shelved, and the resource utilization rate is optimized.

Description

Technical Field

[0001] The present invention relates to the field of library management, and specifically to an intelligent management system for university library resources supported by big data and AI. Background Art

[0002] A library management system is a software system designed to help libraries effectively manage their resources, services, and operations. The specific functions and features of a library management system may vary depending on the application scenario and requirements, but the overall goal is to provide an efficient, convenient, and intelligent management tool for libraries, improving the service quality of libraries and the reading experience of readers.

[0003] The currently existing systems do not have an intelligent recommendation function and cannot provide personalized book recommendations based on students' reading preferences and behavior data, resulting in a less personalized borrowing experience for students. Moreover, borrowing books in a large library is very time-consuming and laborious. Students need to go to the counter to complete the procedures for borrowing books, and the borrowing process is not intelligent enough, consuming students' time and energy. Summary of the Invention

[0004] The purpose of the present invention is to provide an intelligent management system for university library resources supported by big data and AI to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] An intelligent management system for university library resources supported by big data and AI, comprising

[0007] A central server, on which a management system is deployed, and which stores book information, student account information, and interaction data;

[0008] A management terminal, which interacts with the management system through a network connection. The management terminal is equipped with a user operation interface, through which students can browse the library resources stored in the central server, query their personal borrowing records, and search for books;

[0009] An AI book selection module and an automatic book delivery module are also configured in the management terminal;

[0010] The AI book selection module records students' reading preferences and behavior data, and uses deep learning algorithms to provide personalized book recommendations for each student. Students can browse the recommended books through the user operation interface, select the books they are interested in, and add them to the borrowing list;

[0011] The automatic book delivery module controls the robot to pick up the selected books in the library and send them to the access desk at the designated location according to the information input by the students through the management terminal. After passing the identity verification at the access desk, the students can take away the books they have selected. When returning the books, the students can again instruct the robot to put the books back to their original positions through the management terminal.

[0012] Preferably, the central server is also deployed with a reading room occupancy management system. The reading room occupancy management system interacts with the management terminal through network connection. The reading room occupancy management system provides information on the available seats and occupied seats in the reading room and displays it on the management terminal.

[0013] Preferably, the AI book selection module includes a recommendation unit, and the recommendation unit includes a content-based filtering algorithm and a collaborative filtering algorithm.

[0014] Preferably, the robot of the automatic book delivery module is configured with an obstacle avoidance module and a route planning module. The obstacle avoidance module and the route planning module are used in cooperation to ensure that there will be no collision with obstacles during the book delivery process.

[0015] Preferably, the automatic book delivery module further includes an identification module. The identification module uses RFID, and RFID can quickly and accurately identify the students' identities and the books to be retrieved.

[0016] Preferably, the user operation interface of the management terminal is configured with a voice recognition module and a face recognition module. The students enter the management system through the face recognition module and then search for books through voice commands.

[0017] Preferably, the AI book selection module further includes a data recording unit, and the data recording unit is connected to the students' personal account information to track and analyze the students' reading preferences and history records.

[0018] Preferably, the robot of the automatic book delivery module is also configured with a control unit. The control unit receives real-time instructions through the management terminal, and the administrator can remotely control and schedule the robot's actions.

[0019] Preferably, the reading room occupancy management system is composed of a sensor network, cameras, and a data processing module. The sensor network includes pressure sensors and infrared sensors. The pressure sensors are arranged under the seats in the reading room, and the infrared sensors are arranged on the backrests of the seats in the reading room. The cameras are arranged around the corners of the reading room. The data collected by the sensors and cameras are sent to the data processing module for real-time processing. The data processing module analyzes the sensor signals or camera images, identifies whether there is someone on the seat, and feeds back the result to the system.

[0020] Preferably, the reading room idle management system further includes an interface display unit, which is integrated into the user operation interface on the management terminal. Students can view the seat distribution and idle status of the reading room through the user operation interface.

[0021] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0022] 1. Through the AI book selection module of the present invention, the system can provide personalized book recommendations for each student according to the reading preferences and behavior data of the students, improving the user experience. The automatic book delivery module enables students to submit requests for borrowing and returning books through the management terminal without queuing at the library counter, saving borrowing time and improving borrowing efficiency. Through the intelligent book scheduling and automatic book delivery module, the system can more effectively manage library resources, ensure the timely return and re-shelving of books, and optimize resource utilization.

[0023] 2. In the present invention, students can view the idle status of seats in the reading room in real time through the system, avoiding the situation of finding no empty seats after arriving at the reading room, thus saving time and improving learning efficiency. It can also help students quickly find empty seats, avoiding the waste of seats and effectively optimizing the seat utilization rate of the reading room. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the system structure of an intelligent management system for university library resources supported by big data and AI according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0026] As Figure 1 shown, the present invention provides a technical solution:

[0027] An intelligent management system for university library resources supported by big data and AI, including a central server, on which a management system is deployed and which stores book information, student account information, and interaction data; a management terminal, which interacts with the management system through a network connection. The management terminal is equipped with a user operation interface. Students can browse the library resources stored in the central server, query their personal borrowing records, and search for books through the user operation interface; an AI book selection module and an automatic book delivery module are also configured in the management terminal; the AI book selection module records students' reading preferences and behavior data, and uses deep learning algorithms to provide personalized book recommendations for each student. Students can browse the recommended books through the user operation interface, select the books they are interested in, and add them to the borrowing list; the automatic book delivery module controls the robot to pick up the selected books in the library and deliver them to the access platform at the designated location according to the information input by the student through the management terminal. After passing the identity verification at the access platform, students can pick up the books they have selected. When returning books, they can again instruct the robot to put the books back in place through the management terminal; the AI book selection module includes a recommendation unit, and the recommendation unit includes a content-based filtering algorithm and a collaborative filtering algorithm; the user operation interface of the management terminal is configured with a voice recognition module and a face recognition module. Students enter the management system through the face recognition module and search for books through voice commands.

[0028] Specifically, when borrowing books, students can browse the library resources, query their personal borrowing records, and search for books through the user operation interface of the management terminal. When browsing books, students can choose to enter the AI book selection module. This module records students' reading preferences and behavior data and uses deep learning algorithms to automatically provide personalized book recommendations for each student. Students can browse the recommended books and select the books they are interested in, and add them to the borrowing list. Once the selection is completed, students can submit a borrowing request. Next, the automatic book delivery module controls the robot to pick up the selected books in the library and deliver them to the access platform at the designated location according to the borrowing request information submitted by the student. After passing the identity verification at the access platform, students can pick up the books they have selected. When returning books, students submit a return request again through the management terminal operation interface. The automatic book delivery module controls the robot to put the books back in place according to the return request information of the student. Throughout the process, the central server stores book information, student account information, and interaction data to ensure the normal operation of the system and provide accurate services.

[0029] In this embodiment, a reading room idle management system is also deployed on the central server. The reading room idle management system interacts with the management terminal through network connection. The reading room idle management system provides information on the idle seats and occupied seats in the reading room and displays it on the management terminal. The reading room idle management system is composed of a sensor network, cameras, and a data processing module. The sensor network includes pressure sensors and infrared sensors. The pressure sensors are arranged under the seats in the reading room, and the infrared sensors are arranged on the backrests of the seats in the reading room. The cameras are arranged around the corners of the reading room. The data collected by the sensors and cameras is sent to the data processing module for real-time processing. The data processing module analyzes the sensor signals or camera images, identifies whether there is someone on the seat, and feeds back the result to the system.

[0030] Specifically, when students view library resources or perform other operations on the operation terminal, the system simultaneously sends a request to the reading room idle management system to obtain the idle situation of the seats in the reading room. The reading room idle management system monitors the occupancy of the seats in real time, collects seat status data through the sensor network or cameras, and performs real-time processing and analysis. Once a seat becomes idle or is occupied, the system transmits the relevant information to the operation terminal, enabling students to understand the seat distribution in the reading room at any time. In this way, students can conveniently view the idle seats in the reading room, thereby more efficiently planning their reading and learning time. Throughout the process, the central server serves as the core node, responsible for coordinating the information interaction between each subsystem, ensuring the stable operation of the system and the accurate transmission of information.

[0031] In this embodiment, the reading room idle management system further includes an interface display unit, which is integrated into the user operation interface on the management terminal. Students can view the seat distribution and idle status of the reading room through the user operation interface.

[0032] Specifically, a seat distribution map of the reading room is displayed on the interface of the management terminal, including the number or location information of each seat. The occupancy status of each seat is displayed in real time through colors or icons, so that users can clearly understand whether the seats are idle or occupied at a glance. Users can click on each seat to view the detailed information of the seat, including its location and whether there is a power outlet. If the system supports the seat reservation function, users can perform seat reservation operations through the interface, and prompt messages such as the seat has been reserved or there are items left on the seat are displayed on the interface, providing a better user experience and service.

[0033] In this embodiment, the robot of the automatic book delivery module is configured with an obstacle avoidance module and a route planning module. The obstacle avoidance module and the route planning module work together to ensure that no collision occurs with obstacles during the book delivery process.

[0034] Specifically, the obstacle avoidance module and route planning module configured for the robot ensure the safety and reliability of the automatic book delivery process and prevent accidents.

[0035] In this embodiment, the automatic book delivery module further includes an identification module. The identification module uses RFID, which can quickly and accurately identify the student's identity and the books to be picked up.

[0036] Specifically, the use of RFID in the identification module makes book identification and student identity verification more efficient and accurate, improving the overall efficiency of the system.

[0037] In this embodiment, the AI book selection module further includes a data recording unit, which is connected to the student's personal account information to track and analyze the student's reading preferences and history.

[0038] Specifically, the connection to the student's personal account information enables the tracking and analysis of the student's reading preferences and history, providing more data support for subsequent personalized recommendations.

[0039] In this embodiment, the robot of the automatic book delivery module is also configured with a control unit. The control unit receives real-time instructions through the management terminal, and the administrator can remotely control and schedule the behavior of the robot.

[0040] Specifically, the robot control unit receives real-time instructions through the management terminal, enabling remote control and scheduling of the robot's behavior, enhancing the flexibility and operability of the system.

[0041] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variation thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0042] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent management system for university library resources supported by big data and AI, characterized by: include A central server, wherein the central server is equipped with a management system and stores book information, student account information, and interaction data; A management terminal, which interacts with the management system via a network connection. The management terminal is equipped with a user interface, through which students can browse library resources stored in the central server, query personal borrowing records, and search for books; The management terminal is also equipped with an AI book selection module and an automatic book delivery module; The AI ​​book selection module records students’ reading preferences and behavior data, and uses deep learning algorithms to provide personalized book recommendations for each student. Students browse recommended books through the user interface and select books of interest to add to their borrowing list. The automatic book delivery module controls the robot to take the selected books in the library and deliver them to the designated access counter according to the information input by the students through the management terminal. Students can take the books they selected after passing the identity authentication at the access counter. When returning the books, they can instruct the robot to put the books back to their original positions through the management terminal again.

2. According to the big data and AI-supported intelligent management system for university library resources according to claim 1, it is characterized by: The central server is also equipped with a reading room idle management system, which interacts with the management terminal via a network connection. The reading room idle management system provides information on idle seats and full seats in the reading room and displays it on the management terminal.

3. According to the big data and AI-supported intelligent management system for university library resources according to claim 1, it is characterized by: The AI ​​book selection module includes a recommendation unit, and the recommendation unit includes a content-based filtering algorithm and a collaborative filtering algorithm.

4. According to the big data and AI-supported intelligent management system for university library resources according to claim 1, it is characterized by: The robot of the automatic book delivery module is equipped with an obstacle avoidance module and a route planning module. The obstacle avoidance module and the route planning module are used in coordination to ensure that no collision with obstacles occurs during the book delivery process.

5. According to the big data and AI-supported intelligent management system for university library resources according to claim 1, it is characterized by: The automatic book delivery module also includes an identification module, which uses RFID, and the RFID can quickly and accurately identify the identity of the student and the books that need to be taken.

6. According to the big data and AI-supported intelligent management system for university library resources according to claim 1, it is characterized by: The user operation interface of the management terminal is configured with a voice recognition module and a face recognition module. Students enter the management system through the face recognition module and then search for books through voice commands.

7. According to claim 1, the intelligent management system for university library resources supported by big data and AI is characterized by: The AI ​​book selection module also includes a data recording unit, which is connected to the student's personal account information to track and analyze the student's reading preferences and historical records.

8. According to claim 1, the intelligent management system for university library resources supported by big data and AI is characterized by: The robot of the automatic book delivery module is also equipped with a control unit, which receives real-time instructions through a management terminal, and an administrator can remotely control and schedule the behavior of the robot.

9. According to claim 2, the intelligent management system for university library resources supported by big data and AI is characterized by: The reading room idle management system is composed of a sensor network, a camera and a data processing module. The sensor network includes a pressure sensor and an infrared sensor. The pressure sensor is arranged under the reading room seat, the infrared sensor is arranged on the backrest of the reading room seat, and the camera is arranged around the corners of the reading room. The data collected by the sensor and the camera are sent to the data processing module for real-time processing. The data processing module analyzes the sensor signal or the camera image, identifies whether there is someone in the seat, and feeds the result back to the system.

10. According to claim 9, the intelligent management system for university library resources supported by big data and AI is characterized by: The reading room idle management system also includes an interface display unit, which is integrated into a user operation interface on the management terminal. Students can display the seat distribution and idle status of the reading room through the user operation interface.

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