Book borrowing process intelligent management system based on Internet of Things
By designing an intelligent management system for book borrowing process based on the Internet of Things, the problems of improper management of readers of different credit levels and insufficient tracking of book borrowing status in the existing technology are solved, and more efficient book management and better reader experience are achieved.
Patent Information
- Application Number
- CN202510325599.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-19
- Publication Date
- 2025-05-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the book borrowing management, the existing technology ignores the adoption of different management strategies for readers of different credit levels, resulting in an increase in management burden, and lacks real-time tracking and recording of abnormal book borrowing status and circulation, making it difficult to improve book management efficiency and protect book resources.
An intelligent management system for book borrowing process based on the Internet of Things was designed, including book borrowing management module, book return management module and information database. The system tracks and monitors readers' borrowing behavior in real time, analyzes borrowing credit evaluation indicators, identifies high and low credit readers, and adopts different management strategies. At the same time, through technical means such as RFID tags and sensors, the borrowing status and circulation of books are tracked in real time.
By identifying readers with different credit levels, optimizing resource allocation, reducing management burden, and enhancing readers' self-discipline awareness and borrowing experience. At the same time, we track the borrowing status and circulation of books in real time, improve the efficiency of book management, prevent book loss and theft, and protect book resources.
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Figure CN120048044A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of library borrowing process management and relates to an intelligent management system for library borrowing processes based on the Internet of Things. Background Art
[0002] With the increasing growth of readers' needs and the continuous expansion of library scales, traditional library management methods have gradually exposed problems such as low efficiency and inconvenient management. In the traditional library borrowing process, the identification of books mainly relies on barcode technology. However, barcodes are prone to wear during use, and their storage space is limited, making it inconvenient for long-term storage and reading. In addition, barcode scanning requires manual operation, and the process is cumbersome, reducing the borrowing efficiency. The Internet of Things technology can achieve intelligent management of resources such as books, readers, and equipment through technical means such as RFID tags and sensors. This management method has the advantages of high efficiency, accuracy, and convenience, and can significantly improve the management efficiency and service quality of libraries.
[0003] In the prior art, there are also some related solutions involving library borrowing management. For example, the invention patent application of a library book borrowing and circulation system and its book borrowing method with the Chinese patent publication number CN110060008A includes a warehousing management system, a warehousing control system, a three-dimensional bookshelf, an automated picking and placing machine, an automated conveyor line, an automated guided vehicle, a manual picking station, and a self-service book retrieval cabinet. The warehousing management system is used to receive, store, and send information and send instructions; the warehousing control system is used to control the operation of automated equipment; the three-dimensional bookshelf is used to place book boxes, the automated picking and placing machine is used to realize the picking and placing of book boxes between the three-dimensional bookshelf and the automated conveyor line, and the automated conveyor line is used to convey book boxes between the three-dimensional bookshelf and the manual picking station; the manual picking station is used for pickers to pick books; the automated guided vehicle is used to transport books from the manual picking station to the location of service personnel; the self-service book retrieval cabinet is used for service personnel to place books and for readers to pick up books, significantly reducing the time consumed by readers to borrow books in a closed-shelf warehouse and improving the readers' borrowing experience.
[0004] Another Chinese patent application for a library book borrowing management system with a publication number of CN106503897A includes a book borrowing management unit and a data storage unit; the book borrowing management unit includes a book borrowing module, a book renewal module, a book return module, a reader card loss reporting module, and a book loss management module. The library book management system of the present invention can basically meet the library's management of subscription and collection, and improve the efficiency and rationality of book inventory management to a great extent; in addition, compared with the traditional management model, the functions of the library book management system of the present invention will undoubtedly greatly improve the operation efficiency of the library, assist in improving the decision-making and management levels of relevant departments of the school, and provide effective technical guarantees for reducing errors, saving manpower, reducing students' time to collect books, and improving the satisfaction of teachers and students.
[0005] Although the above schemes have proposed some solutions to the management of book borrowing, they still have certain limitations: (1) Some existing technologies use automated equipment to circulate book borrowing, which greatly reduces the time readers spend borrowing books from closed-shelf warehouses and improves readers' borrowing experience. Some existing technologies improve the library's operating efficiency by increasing the library's management of subscription and collection, and provide effective technical guarantees for reducing errors and saving manpower. However, existing technologies have ignored the adoption of different management strategies for readers with different credit levels, and thus cannot reduce the management burden caused by readers' dishonest behavior.
[0006] (2) Existing technologies lack the ability to track and record the borrowing status and circulation anomalies of books in real time, which makes it difficult for library administrators to quickly understand the current location and status of books, thereby failing to improve the efficiency of book management, prevent the loss and theft of books, and protect the library's book resources from damage. Summary of the invention
[0007] In view of this, in order to solve the problems raised in the above background technology, an intelligent management system for book borrowing process based on the Internet of Things is proposed.
[0008] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent management system for book borrowing process based on the Internet of Things, including: a book borrowing management module, a book return management module and an information library.
[0009] The book borrowing management module is used to record each person who borrows books as a reader, conduct real-time tracking and monitoring of each reader during the book borrowing process, obtain each reader's borrowing information data, record each reader's book borrowing information and book status information, and then complete the book borrowing process management of each reader.
[0010] The book borrowing management module includes a borrowing information data acquisition unit, a borrowing application monitoring unit, and a borrowing completion monitoring unit.
[0011] The borrowing information data acquisition unit is used to extract the borrowing credit information of each reader from the information database, analyze the borrowing credit evaluation indicators of each reader, and obtain the borrowing information data of each reader accordingly.
[0012] The borrowing application monitoring unit is used for each reader to apply for and pick up book borrowing on the borrowing service platform, and record the book borrowing information and book status information of each reader.
[0013] The borrowing completion monitoring unit is used to obtain the book circulation verification information of each reader, analyze the book circulation abnormal risk coefficient of each reader, and obtain the book circulation abnormal risk situation of each reader accordingly.
[0014] The book return management module is used to obtain the book return information of each reader, accordingly remind each reader, obtain the book return status information and book return eligibility of each reader, and then complete the management of the book return process for each reader.
[0015] The book return management module includes a book return information acquisition unit and a book return monitoring unit.
[0016] The book return information acquisition unit is used to obtain the book return information of each reader based on the borrowing information data and book borrowing information of each reader.
[0017] The book return monitoring unit is used to obtain the book return status information of each reader, confirm the book return eligibility of each actually returned book of each reader, and then complete the management of the book return process for each reader.
[0018] The information database is used to store the borrowing credit information of each reader, store the borrowing information data corresponding to each borrowing credit evaluation indicator, and store the non-normal return penalty measures corresponding to each return status evaluation indicator.
[0019] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. Based on extracting the borrowing credit information of each reader, analyzing the borrowing credit evaluation indicators of each reader, and obtaining the borrowing information data of each reader accordingly, the present invention identifies high-credit readers and low-credit readers, and thus adopts different management strategies for readers with different credit levels, which helps the library optimize resource allocation, reduce the management burden caused by readers' dishonest behaviors, enhance the self-discipline awareness of readers, helps create an honest and civilized borrowing environment, and improves the overall image of the library.
[0020] 2. The present invention records each reader's book borrowing information and book status information through the book borrowing service platform through each reader's application and collection, which helps to track and record the book borrowing status in real time, and helps library administrators to quickly understand the current location and status of the book, thereby improving book management efficiency.
[0021] 3. The present invention obtains the book circulation verification information of each reader, analyzes the abnormal book circulation risk coefficient of each reader, and obtains the abnormal book circulation risk situation of each reader accordingly, which helps to timely discover and prevent the taking out of books that have not been borrowed by readers, thereby effectively preventing the loss and theft of books, protecting the library's book resources from damage, and maintaining the integrity and availability of the collection.
[0022] 4. The present invention obtains the book return information of each reader based on the borrowing information data and book borrowing information of each reader, and effectively improves the return rate of books and reduces the situation of overdue books by reminding readers to return books in time, which helps to optimize the utilization rate of book resources, helps to reduce fines caused by overdue readers, and improves readers' borrowing experience and satisfaction.
[0023] 5. The present invention obtains the book return status information of each reader, confirms the book return qualification of each reader's actually returned books, and then completes the book return process management of each reader, which helps to ensure that the returned books are not damaged or lost, and is conducive to enhancing the readers' sense of responsibility and self-discipline, prompting them to cherish and protect book resources more. BRIEF DESCRIPTION OF THE DRAWINGS
[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.
[0025] Figure 1 It is a schematic diagram of system module connection of the present invention.
[0026] Figure 2 The present invention is a flowchart of the system implementation steps.
[0027] Figure 3 The present invention is a flowchart of the book borrowing application operation. DETAILED DESCRIPTION
[0028] 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 the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0029] Please refer to Figure 1 As shown, the present invention provides an intelligent management system for the book borrowing process based on the Internet of Things, and the specific module distribution is as follows: a book borrowing management module, a book return management module, and an information database. Among them, the connection method between the modules is: the book borrowing management module is connected to the book return management module, and the information database is respectively connected to the book borrowing management module and the book return management module.
[0030] The book borrowing management module is used to record the personnel borrowing each book as each reader, monitor the book borrowing process of each reader in real time, obtain the borrowing information data of each reader, record the book borrowing information and book status information of each reader, and thus complete the management of the book borrowing process of each reader.
[0031] It should be further noted that the system implementation step flow chart is as Figure 2 shown.
[0032] The book borrowing management module includes a borrowing information data acquisition unit, a borrowing application monitoring unit, and a borrowing completion monitoring unit.
[0033] Among them, the connection method between the units is: the borrowing information data acquisition unit is connected to the borrowing application monitoring unit, and the borrowing application monitoring unit is connected to the borrowing completion monitoring unit.
[0034] The borrowing information data acquisition unit is used to extract the borrowing credit information of each reader from the information database, analyze the borrowing credit evaluation indicators of each reader, and thus obtain the borrowing information data of each reader.
[0035] As a preferred feasible example, the borrowing credit information of each reader includes the number of historical borrowed books, the number of historical returned books, the damage degree of each historical returned book, the timeliness of the return time of each historical returned book, and the accuracy of the return location of each historical returned book.
[0036] The borrowing information data of each reader includes the number of books allowed to be borrowed at a time, the borrowing and return interval duration, and the number of renewal times.
[0037] As a preferred feasibility example, the specific analysis method of the borrowing credit evaluation index of each reader is as follows: extract the number of historical borrowed books, the number of historical returned books, the degree of damage of each historical returned book, the timeliness of the return of each historical returned book, and the accuracy of the return location of each historical returned book from the borrowing credit information, and record them as ,in , The number for each reader, For the number of readers, , Number each historically returned book and analyze each reader's borrowing credit evaluation index ,in They are respectively the preset readers' historical returned books return damage degree threshold, historical returned books return time timeliness threshold and historical returned books return location accuracy threshold.
[0038] As a preferred feasibility example, the specific method of obtaining the borrowing information data of each reader is: matching the borrowing credit evaluation index of each reader with the borrowing information data corresponding to each borrowing credit evaluation index stored in the information database, obtaining the borrowing information data corresponding to the borrowing credit evaluation index of each reader, and recording it as the borrowing information data of each reader.
[0039] The present invention is based on extracting the borrowing credit information of each reader, analyzing the borrowing credit evaluation index of each reader, and obtaining the borrowing information data of each reader accordingly. By identifying high-credit readers and low-credit readers, different management strategies are adopted for readers with different credit levels, which helps the library optimize resource allocation, reduces the management burden caused by readers' dishonest behavior, enhances readers' self-discipline awareness, helps to create an honest and civilized borrowing environment, and improves the overall image of the library.
[0040] The borrowing application monitoring unit is used for each reader to apply for and take out books on the borrowing service platform, and records each reader's book borrowing information and book status information.
[0041] As a preferred feasible example, the book borrowing information of each reader includes the reader ID, borrowing time point, the number of books actually borrowed and the name of each book actually borrowed.
[0042] It needs to be further explained that the specific method of obtaining the reader ID, borrowing time point, actual number of borrowed books and actual name of each borrowed book of each reader is: directly searching from the borrowing service platform according to the reader ID of each reader to obtain the borrowing time point, actual number of borrowed books and actual name of each borrowed book of each reader.
[0043] The book status information of each reader includes the degree of damage of each actually borrowed book.
[0044] It should be further noted that the specific method for obtaining the damage degree of each actual borrowed book of each reader is as follows: The damage degree of each actual borrowed book of each reader when it was last returned is recorded as the damage degree of each actual borrowed book of each reader.
[0045] As a preferred feasible example, the specific operation content of each reader's application for borrowing books on the borrowing service platform includes: A1. Account login: Each reader opens the borrowing service platform, enters their ID and password on the login page. After successful login, the identity verification of each reader is carried out. After the identity verification, the borrowing service platform jumps to the book borrowing page.
[0046] It should be further noted that the identity verification methods include but are not limited to face recognition, fingerprint recognition, or answering reserved security questions, which are used to ensure that it is the operation of the person himself and to guarantee the security of the account and the accuracy of the borrowing records.
[0047] A2. Book retrieval: Each reader enters and searches according to the book keywords on the book borrowing page. At the same time, the borrowing service platform screens and matches the books in the book library to obtain the search result list of each reader.
[0048] It should be further noted that the book keywords include but are not limited to the book title, author name, and the name of the main character in the book, etc.
[0049] A3. Book borrowing application: Each reader clicks on the target book from the search result list to enter the book details page, and then confirms whether the target book meets the borrowing requirements. If it meets the borrowing requirements, then execute A4. If it does not meet the borrowing requirements, then execute A2.
[0050] It should be further noted that the specific method for confirming whether the target book meets the borrowing requirements is as follows: The book details page will display the current available quantity of the target book. If it is 0, then the target book meeting the borrowing requirements is recorded as not meeting the borrowing requirements. If it is not 0, then the target book meeting the borrowing requirements is recorded as meeting the borrowing requirements.
[0051] A4. Submitting a borrowing application: Each reader clicks the "Borrowing Application" button on the book details page. The borrowing service platform automatically verifies the borrowing information data of each reader, and accordingly a prompt box pops up on the page to inform each reader whether the application is successful. If the application is successful, then execute A5. If the application is not successful, then execute A2, and the books for which each reader's application is successful are recorded as the actual borrowed books of each reader.
[0052] It is necessary to further explain that the specific operation of the borrowing service platform automatically verifying the borrowing information data of each reader is as follows: The borrowing service platform counts the total number of books in the borrowing applications of each reader, and compares it with the number of books that each reader is allowed to borrow at a time. If the total number of books in a reader's borrowing application is greater than the number of books that the reader is allowed to borrow at a time, then the books in the borrowing application of each reader are recorded as successful applications in order according to the number of books that is the same as the number of books allowed to borrow at a time for each reader, and the remaining books in the borrowing application of each reader are recorded as failed applications. If the total number of books in a reader's borrowing application is less than or equal to the number of books that the reader is allowed to borrow at a time, then all the books in the borrowing application of each reader are recorded as successful applications.
[0053] A5. Book retrieval path planning: The borrowing service platform displays the target bookshelf positions of each actual borrowed book of each reader according to each actual borrowed book of each reader, and plans the book retrieval path to obtain the book retrieval paths of each actual borrowed book of each reader.
[0054] It should be further noted that the operation flowchart of the book borrowing application is as Figure 3 shown.
[0055] As a preferred feasible example, the specific operation content of each reader taking books for borrowing on the borrowing service platform includes: Going to the target bookshelf position of the actual borrowed book according to the book retrieval path of a certain actual borrowed book of each reader, finding the corresponding book among them, picking up the book and approaching the RFID reader sensing area at the target bookshelf position of the actual borrowed book to receive the book, and repeating this step until all the actual borrowed books of each reader are received.
[0056] The borrowing service platform records the reader ID, borrowing time point, actual number of borrowed books, and names of each actual borrowed book of each reader, and collectively refers to them as the book borrowing information of each reader.
[0057] Through the application and retrieval of books by each reader on the borrowing service platform, the present invention records the book borrowing information and book status information of each reader, which helps to track and record the borrowing status of books in real time, and is conducive to the library administrator quickly understanding the current position and status of books, thereby improving the efficiency of book management.
[0058] The borrowing completion monitoring unit is used to obtain the book circulation verification information of each reader, analyze the book circulation abnormal risk coefficient of each reader, and obtain the book circulation abnormal risk situation of each reader accordingly.
[0059] As a preferred feasible example, the book circulation verification information of each reader includes the actual number of retrieved books and the names of each actual retrieved book.
[0060] It should be further noted that the specific method for obtaining the actual number of books taken by each reader and the specific names of the books actually taken is as follows: When each reader passes through the security gate with books and is about to leave the library, the RFID reader installed on the doorframe of the security gate recognition area captures the signals reflected by the RFID tags of the books carried by each reader, obtains the book codes corresponding to the books carried by each reader, and then compares them with the book names corresponding to the book codes of each book stored in the library to obtain the book names corresponding to the book codes of the books carried by each reader, which are recorded as the actual book names taken by each reader, and further conducts a quantity statistics on them to obtain the actual number of books taken by each reader.
[0061] As a preferred feasible example, the specific analysis method for the risk coefficient of abnormal book circulation of each reader is: Extract the actual number of books taken by each reader from the book circulation verification information .
[0062] Extract the actual book names taken by each reader from the book circulation verification information, and compare them with the actual borrowed book names of each reader respectively. If the actual book name taken by a certain reader is the same as the actual borrowed book name of that reader, then record the actual book taken by that reader as the normally circulated book of that reader, and then obtain the normally circulated books of each reader, and conduct a statistics on them to obtain the number of normally circulated books of each reader .
[0063] Analyze the risk coefficient of abnormal book circulation of each reader , where is the actual number of borrowed books of the th reader, and
[0064] As a preferred feasible example, the specific method for obtaining the abnormal book circulation risk situation of each reader is: Compare the risk coefficients of abnormal book circulation of each reader with the preset risk coefficient threshold of abnormal book circulation respectively. If the risk coefficient of abnormal book circulation of a certain reader is greater than or equal to the risk coefficient threshold of abnormal book circulation, then record the abnormal book circulation risk situation of that reader as having a risk, otherwise, record the abnormal book circulation risk situation of that reader as having no risk, and then obtain the abnormal book circulation risk situations of each reader.
[0065] It should be further noted that if the abnormal book circulation risk situation of a certain reader is having a risk, then feedback and alarm the reader ID of that reader.
[0066] The present invention obtains the book circulation verification information of each reader, analyzes the abnormal book circulation risk coefficient of each reader, and obtains the abnormal book circulation risk situation of each reader accordingly, which helps to timely discover and prevent the taking out of books that have not been borrowed by readers, thereby effectively preventing the loss and theft of books, protecting the library's book resources from damage, and maintaining the integrity and availability of the collection.
[0067] The book return management module is used to obtain the book return information of each reader, remind each reader based on it, obtain the book return status information and book return qualifications of each reader, and then complete the book return process management of each reader.
[0068] The book return management module includes a book return information acquisition unit and a book return monitoring unit.
[0069] The connection between the units is as follows: the book return information acquisition unit is connected to the book return monitoring unit.
[0070] The book return information acquisition unit is used to acquire the book return information of each reader based on the borrowing information data and book borrowing information of each reader.
[0071] As a preferred feasible example, the book return information of each reader includes the remaining return interval and the remaining renewal times of each actually borrowed book.
[0072] It needs to be further explained that the specific method of obtaining the remaining return interval and the remaining renewal times of each actually borrowed book of each reader is: directly extracting the remaining renewal times of each actually borrowed book of each reader and the last renewal time point of each actually borrowed book from the online APP of the borrowing service platform.
[0073] It should be noted that the last renewal time point of each actually borrowed book is the renewal time point closest to the current time point.
[0074] The current time point is subtracted from the last renewal time point of each actually borrowed book of each reader to obtain the remaining return interval length of each actually borrowed book of each reader.
[0075] As a preferred feasibility example, the specific method of obtaining the book return information of each reader is: directly extracting the remaining renewal times of each actually borrowed book of each reader from the online APP of the borrowing service platform ,in , is the number of each book actually borrowed, The actual number of books borrowed.
[0076] According to the analytical formula Obtain the remaining return interval duration of each actual borrowed book for each reader , where are the current time point and the th borrowing time point of the th actual borrowed book of the reader respectively, is the borrowing return interval duration and the number of renewal times of the th reader, is the AND symbol.
[0077] Furthermore, the remaining return interval duration and the remaining number of renewal times of each actual borrowed book of each reader are collectively referred to as the book return information of each reader.
[0078] Based on the borrowing information data of each reader and the book borrowing information, the present invention obtains the book return information of each reader, and effectively improves the book return rate by timely reminding readers to return books, reduces the situation of overdue books, helps to optimize the utilization rate of book resources, is conducive to reducing fines caused by overdue for readers, and improves the borrowing experience and satisfaction of readers.
[0079] The book return monitoring unit is used to obtain the book return status information of each reader, confirm the book return eligibility of each actual returned book of each reader, and then complete the management of the book return process of each reader.
[0080] As a preferred feasible example, the book return status information of each reader includes the number of actual returned books, the names of each actual returned book, the damage degree of each actual returned book, the timeliness of the return time of each actual returned book, and the accuracy of the return location of each actual returned book.
[0081] It should be further noted that the specific acquisition methods of the number of actual returned books, the names of each actual returned book, the damage degree of each actual returned book, the timeliness of the return time of each actual returned book, and the accuracy of the return location of each actual returned book of each reader are as follows: directly search the borrowing service platform according to the reader ID of each reader to obtain the number of actual returned books and the names of each actual returned book of each reader.
[0082] Use a scanner to scan the whole book of each actual returned book of each reader to obtain the digital images of each actual returned book of each reader, and compare them with the standard digital images of each actual returned book stored in the information database respectively according to professional image recognition software to obtain the damage degree of each actual returned book of each reader.
[0083] A specific example. The specific method of comparing the digital images of each actually returned book with its standard digital image is as follows: According to professional image recognition software (such as OpenCV), perform division operations on the areas of the missing page regions, the areas of the stain regions, and the areas of the paper deformation regions of the digital images of each actually returned book of each reader and its standard digital image respectively, to obtain the ratios of the areas of the missing page regions, the ratios of the areas of the stain regions, and the ratios of the areas of the paper deformation regions between the digital images of each actually returned book of each reader and its standard digital image. Further, calculate the average value of the ratios of the areas of the missing page regions between the digital images of each actually returned book of each reader and its standard digital image, to obtain the average value of the ratios of the areas of the missing page regions between the digital images of each actually returned book of each reader and its standard digital image. Similarly, the average value of the ratios of the areas of the stain regions and the average value of the ratios of the areas of the paper deformation regions can be obtained. Sum up the average value of the ratios of the areas of the missing page regions, the average value of the ratios of the areas of the stain regions, and the average value of the ratios of the areas of the paper deformation regions between the digital images of each actually returned book of each reader and its standard digital image to obtain the damage degree of each actually returned book of each reader.
[0084] It should be noted that the method for obtaining the standard digital images of each actually returned book is: Screen and obtain the standard digital images of each actually returned book from the standard digital images of each book.
[0085] A specific example. The professional image recognition software includes but is not limited to OpenCV or ABBYY FineReader, etc.
[0086] Extract the overtime of each actually returned book of each reader from the borrowing service platform , where , is the number of each reader, is the number of readers, , is the number of each actually returned book, is the number of actually returned books, and analyze the return time and timeliness of each actually returned book of each reader , where is a minimum value set to prevent the denominator from being zero, and its unit is hours.
[0087] After each reader returns a book, the library obtains the target shelf positions of all the actually returned books of each reader, and then uses the RFID readers installed on each shelf to scan the books to obtain the deviation distances between the actual placement positions and the target shelf positions of all the actually returned books of each reader. Analyze the accuracy of the return positions of all the actually returned books of each reader. Among them, is a minimum value set to prevent the denominator from being zero, and its unit is meter.
[0088] It should be noted that the number of actually returned books of each reader, the names of all the actually returned books, the damage degrees of all the actually returned books, the timeliness of the return time of all the actually returned books, and the accuracy of the return positions of all the actually returned books are stored in the information database, and the number of actually returned books, the names of all the actually returned books, the damage degrees of all the actually returned books, the timeliness of the return time of all the actually returned books, and the accuracy of the return positions of all the actually returned books for each book return of each reader in the information database are collectively referred to as the borrowing credit information of each reader.
[0089] As a preferred feasible example, the specific confirmation method for the book return qualification of all the actually returned books of each reader is: extract the number of actually returned books of each reader, the names of all the actually returned books, the damage degrees of all the actually returned books, the timeliness of the return time of all the actually returned books, and the accuracy of the return positions of all the actually returned books from the book return status information, analyze the return status evaluation indicators of all the actually returned books of each reader, compare them with the preset return status evaluation index thresholds respectively. If the return status evaluation index of a certain actually returned book of a certain reader is greater than the return status evaluation index threshold, then record the return qualification of this actually returned book of this reader as a normal return; otherwise, record the return qualification of this actually returned book of this reader as an abnormal return.
[0090] It should be further noted that the specific analysis method for the return status evaluation indicators of all the actually returned books of each reader is: compare the names of all the actually returned books of each reader with the names of all the actually taken books. If the name of a certain actually returned book of a certain reader is the same as the name of a certain actually taken book, then record the consistency index of this actually returned book of this reader as 1; if the name of a certain actually returned book of a certain reader is different from the name of a certain actually taken book, then record the consistency index of this actually returned book of this reader as 0, and then obtain the consistency indexes of all the actually returned books of each reader. Among them, , is the number of each actually returned book, is the number of actually returned books.
[0091] Record the damage degree of each actually returned book of each reader, the timeliness of the return time of each actually returned book, and the accuracy of the return location of each actually returned book respectively as 。
[0092] According to the analysis formula Obtain the return status evaluation indicators of each actually returned book of each reader 。
[0093] As a preferred feasible example, the specific operation content of the management of the book return process of each reader is as follows: D1. Confirmation of book return eligibility: Each reader carries the books to be returned, which are recorded as the actually returned books of each reader. Each reader logs in to the borrowing service platform and obtains the book return status information of the actually returned books of each reader. Based on this, confirm the book return eligibility of the actually returned books of each reader. If the book return eligibility of a certain actually returned book of a certain reader is normal return, then execute D2. If the book return eligibility of a certain actually returned book of a certain reader is abnormal return, then execute D3.
[0094] D2. Normal return operation: The borrowing service platform displays the target shelf location of each actually returned book of each reader according to the actually returned books of each reader and plans the book return path to obtain the book return path of each actually returned book of each reader. Each reader goes to the target shelf location of the actually returned book accordingly, finds the corresponding book location therein, and places the book near the RFID reader sensing area of the target shelf location of the actually returned book for book return.
[0095] D3. Abnormal return operation: The borrowing service platform matches the return status evaluation indicators of each actually returned book of each reader with the corresponding abnormal return penalty measures of the return status evaluation indicators stored in the information database to obtain the corresponding abnormal return penalty measures of the return status evaluation indicators of each actually returned book of each reader. Based on this, impose an abnormal return penalty on each actually returned book of each reader, and then execute D2.
[0096] It should be further noted that the abnormal return penalty measures include but are not limited to: (1) Book loss: Based on the original price of the book, require the reader to compensate at a certain multiple. The determination of the multiple takes into account factors such as the publication year of the book, scarcity, and the number of library copies.
[0097] A specific example is that for the loss of out-of-print ancient books and limited-edition books, the multiple is as high as 10 times. In addition to compensating for the book price, a certain handling fee will also be charged to make up for the administrative costs generated by the processing process.
[0098] (2)Book damage: Evaluate the compensation amount according to the degree of damage.
[0099] A specific example is that for minor damages such as a creased book corner, a small repair fee is charged. In the case of serious situations such as a large area of torn pages, graffiti, or missing pages, the reader needs to pay a compensation amount close to or equal to the book price. For books with repair value, the compensation cost includes the repair cost.
[0100] In addition to monetary compensation, the librarian educates the reader on taking good care of books, informs them of the correct reading and usage habits, and reminds them to pay attention to protecting the books during the next borrowing to avoid similar situations from happening again.
[0101] (3)Overdue return: A certain amount of fine is charged per day according to the number of overdue days, usually between 0.1 - 1 yuan.
[0102] A specific example is that if it is overdue for 3 days, with a fine of 0.5 yuan per day, a total fine of 1.5 yuan needs to be paid.
[0103] (4)Inaccurate return location: For the first occurrence of the situation where the return location is inaccurate, the staff gives an oral warning, informs the correct return process and the shelf location, and reminds the reader to pay attention next time to avoid causing inconvenience to the subsequent book sorting and inventory work. If the same reader has such problems repeatedly, in addition to the warning, the reader is arranged to participate in library volunteer services for a certain period of time (such as 30 minutes - 1 hour) to assist the librarian in sorting the bookshelves and putting the books in place, so as to deepen the understanding of the book placement norms.
[0104] The information database is used to store the borrowing credit information of each reader, store the borrowing information data corresponding to each borrowing credit evaluation index, and store the abnormal return penalty measures corresponding to each return status evaluation index.
[0105] The present invention confirms the book return eligibility of each actually returned book of each reader by obtaining the book return status information of each reader, and then completes the management of the book return process of each reader, which helps to ensure that the returned books are not damaged or lost, and is conducive to enhancing the sense of responsibility and self-discipline of readers, prompting them to cherish and take good care of book resources more.
[0106] The above content is only an example and explanation of the concept of the present invention. Those skilled in the art of this technical field make various modifications or supplements to the described specific embodiments or use similar methods to replace them. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.
Claims
1. An intelligent management system for book borrowing process based on the Internet of Things, characterized by: include: The book borrowing management module is used to record each person who borrows books as a reader, conduct real-time tracking and monitoring of each reader during the book borrowing process, obtain each reader's borrowing information data, record each reader's book borrowing information and book status information, and then complete the book borrowing process management of each reader; The book borrowing management module includes a borrowing information data acquisition unit, a borrowing application monitoring unit and a borrowing completion monitoring unit; The borrowing information data acquisition unit is used to extract the borrowing credit information of each reader from the information database, analyze the borrowing credit evaluation index of each reader, and obtain the borrowing information data of each reader accordingly; The borrowing application monitoring unit is used for each reader to apply for and take out books on the borrowing service platform, and records each reader's book borrowing information and book status information; The borrowing completion monitoring unit is used to obtain the book circulation verification information of each reader, analyze the abnormal book circulation risk coefficient of each reader, and obtain the abnormal book circulation risk situation of each reader accordingly; The book return management module is used to obtain the book return information of each reader, remind each reader accordingly, obtain the book return status information and book return qualification of each reader, and then complete the book return process management of each reader; The book return management module includes a book return information acquisition unit and a book return monitoring unit; The book return information acquisition unit is used to acquire the book return information of each reader based on the borrowing information data and book borrowing information of each reader; The book return monitoring unit is used to obtain the book return status information of each reader, confirm the book return qualification of each reader's actually returned books, and then complete the book return process management of each reader; The information database is used to store the borrowing credit information of each reader, store the borrowing information data corresponding to each borrowing credit evaluation index, and store the abnormal return penalty measures corresponding to each return status evaluation index.
2. According to the Internet of Things-based intelligent management system for book borrowing processes according to claim 1, it is characterized by: The specific analysis method of the borrowing credit evaluation index of each reader is as follows: The number of historical borrowed books, the number of historical returned books, the degree of damage of each historical returned book, the timeliness of each historical returned book, and the accuracy of the return location of each historical returned book are extracted from the borrowing credit information and recorded as ,in , The number for each reader, For the number of readers, , Number each historically returned book and analyze each reader's borrowing credit evaluation index ,in They are respectively the preset readers' historical returned books return damage degree threshold, historical returned books return time timeliness threshold and historical returned books return location accuracy threshold.
3. According to claim 2, the intelligent management system for book borrowing process based on the Internet of Things is characterized by: The specific method of obtaining the borrowing information data of each reader is as follows: The borrowing credit evaluation index of each reader is matched with the borrowing information data corresponding to each borrowing credit evaluation index stored in the information database to obtain the borrowing information data corresponding to the borrowing credit evaluation index of each reader, which is recorded as the borrowing information data of each reader.
4. According to the Internet of Things-based intelligent management system for book borrowing processes according to claim 1, it is characterized by: The specific operations of each reader's application for book borrowing on the borrowing service platform include: A1. Account login: Each reader opens the borrowing service platform, enters his / her ID and password on the login page, and after successful login, the identity verification of each reader is carried out. After the identity verification, the borrowing service platform jumps to the book borrowing page; A2. Book search: Each reader inputs and searches for book keywords on the book borrowing page, and the borrowing service platform selects matching books in the library to obtain a search result list for each reader; A3. Book borrowing application: Each reader clicks on the target book from the search result list to enter the book details page, and then confirms whether the target book meets the borrowing requirements. If it meets the borrowing requirements, execute A4; if it does not meet the borrowing requirements, execute A2; A4. Submit borrowing application: Each reader clicks the "Borrowing Application" button on the book details page, and the borrowing service platform automatically checks the borrowing information data of each reader. Based on this, a prompt box pops up on the page to inform each reader whether the application is successful. If the application is successful, execute A5; if the application is unsuccessful, execute A2, and the books that each reader has successfully applied for are counted as the actual borrowed books of each reader; A5. Book pickup route planning: The borrowing service platform displays the target shelf location of each reader's actual borrowed books according to each reader's actual borrowed books, and plans the book pickup route to obtain the book pickup route of each reader's actual borrowed books.
5. According to claim 4, the intelligent management system for book borrowing process based on the Internet of Things is characterized by: The specific operations of each reader borrowing books on the borrowing service platform include: According to the book picking path of each reader's actual borrowed book, go to the target bookshelf location of the actual borrowed book, find the corresponding book therein, pick up the book and bring it close to the RFID reader-writer sensing area of the target bookshelf location of the actual borrowed book to pick up the book, and repeat this step until all the actual borrowed books of each reader are picked up; The borrowing service platform records each reader's reader ID, borrowing time point, actual number of borrowed books and name of each actual borrowed book, and collectively refers to them as each reader's book borrowing information.
6. According to claim 3, the intelligent management system for book borrowing process based on the Internet of Things is characterized by: The specific analysis method of the abnormal risk coefficient of book circulation of each reader is as follows: Extract the actual number of books taken by each reader from the book circulation verification information ; Extract the names of books actually taken by each reader from the book circulation verification information, and compare them with the names of books actually borrowed by each reader. If the name of a book actually taken by a reader is consistent with the name of a book actually borrowed by the reader, then the book actually taken by the reader is regarded as the normal circulation book of the reader, and then the normal circulation books of each reader are obtained, and the normal circulation book count of each reader is obtained. ; Analyze the abnormal risk factor of book circulation for each reader ,in For the The actual number of books borrowed by each reader. is a natural constant.
7. According to claim 6, the intelligent management system for book borrowing process based on the Internet of Things is characterized by: The specific method of obtaining the abnormal risk situation of book circulation of each reader is as follows: The abnormal book circulation risk coefficient of each reader is compared with the preset abnormal book circulation risk coefficient threshold. If the abnormal book circulation risk coefficient of a reader is greater than or equal to the abnormal book circulation risk coefficient threshold, the abnormal book circulation risk situation of the reader is recorded as having risk; otherwise, the abnormal book circulation risk situation of the reader is recorded as having no risk, thereby obtaining the abnormal book circulation risk situation of each reader.
8. According to claim 3, the intelligent management system for book borrowing process based on the Internet of Things is characterized by: The specific method of obtaining the book return information of each reader is as follows: Directly extract the remaining renewal times of each reader's actual borrowed books from the online APP of the borrowing service platform ,in , is the number of each book actually borrowed, is the number of books actually borrowed; According to the analytical formula Get the remaining return interval of each reader's actual borrowed books ,in The current time point and Reader's The borrowing time of the actual borrowed books, For the The length of time between borrowing and returning books and the number of renewals for each reader. is the and symbol; Further, the remaining return interval and the remaining renewal times of each actually borrowed book of each reader are collectively referred to as the book return information of each reader.
9. The intelligent management system for book borrowing process based on the Internet of Things according to claim 8 is characterized by: The specific confirmation method of the book return qualification of each reader's actually returned book is as follows: The number of books actually returned by each reader, the name of each actually returned book, the degree of damage of each actually returned book, the timeliness of the return time of each actually returned book and the accuracy of the return location of each actually returned book are extracted from the book return status information, and the return status evaluation index of each actually returned book of each reader is analyzed, and compared with the preset return status evaluation index threshold value respectively. If the return status evaluation index of a certain book actually returned by a certain reader is greater than the return status evaluation index threshold value, the return qualification of the book actually returned by the reader is recorded as normal return, otherwise, the return qualification of the book actually returned by the reader is recorded as abnormal return.
10. The intelligent management system for book borrowing process based on the Internet of Things according to claim 9 is characterized in that: The specific operation contents of the book return process management of each reader are as follows: D1. Confirmation of book return qualification: Each reader brings the books to be returned, and the books are recorded as the books actually returned by each reader. Each reader logs in to the borrowing service platform and obtains the book return status information of each book actually returned by each reader. Based on this, the book return qualification of each book actually returned by each reader is confirmed. If the book return qualification of a book actually returned by a reader is normal return, D2 is executed. If the book return qualification of a book actually returned by a reader is abnormal return, D3 is executed. D2. Normal return operation: The borrowing service platform displays the target shelf location of each reader's actually returned books according to each reader's actually returned books, and plans the return path to obtain the return path of each reader's actually returned books. Each reader goes to the target shelf location of each actually returned book accordingly, finds the corresponding book location among them, and returns the book by placing it close to the RFID reader-writer sensing area of the target shelf location of the actually returned book; D3. Abnormal return operation: The borrowing service platform matches the return status evaluation indicators of each reader's actually returned books with the abnormal return penalty measures corresponding to each return status evaluation indicator stored in the information database, and obtains the abnormal return penalty measures corresponding to the return status evaluation indicators of each reader's actually returned books, and accordingly imposes abnormal return penalties on each reader's actually returned books, and then executes D2.
Citation Information
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