Automatic management system based on teaching materials

Abstract

The invention discloses an automatic management system based on a textbook, relates to the technical field of textbook management, and solves the problems that the wear condition of a book is not accurately evaluated and information characteristics of different books are not specifically analyzed. When keyword matching is carried out, one-to-one comparison is carried out according to the determined keyword atlas, so that the same words of the received information packets can be confirmed, the information receiving packets with different characteristics can be distinguished and the information receiving packets with similar characteristics are stored in the same partition through processing in the mode, and the matching efficiency is improved. According to the method, the information receiving packet can be conveniently and subsequently searched, the storage and sorting effect is improved, meanwhile, the good searching and analyzing effect can be achieved, the combination area can be locked and the corresponding areas which are not mutually crossed can be analyzed and locked in an image overlapping and combining mode, and the locking mode is convenient, fast, high in efficiency and fast in progress.

Description

Technical Field

[0001] This invention relates to the field of textbook management technology, specifically to an automated management system based on textbooks. Background Technology

[0002] In modern society, students often change their books after a semester or year; and most of these books, which have only been used for a short time, are discarded or stored, resulting in a huge waste of resources.

[0003] Patent application CN102819782A discloses a textbook management system based on a local area network (LAN). Its key feature is that it includes several client terminals located at the front end and a server database terminal located at the terminal. The client terminals are connected to the server database terminal via the LAN. The server database terminal is equipped with a textbook input module and a textbook query module. The textbook input module inputs textbook information including textbook name, textbook number, textbook quantity, textbook storage location, and textbook usage status. The textbook query module, connected to the server database terminal, allows users to query textbooks by name and textbook number. The beneficial effects of this invention are: its ingenious design, through electronic improvement of traditional textbook management methods, greatly enhances the convenience and security of textbook management, overcomes the shortcomings of traditional technologies, and thus achieves the purpose of this invention.

[0004] When managing discarded textbooks, the failure to accurately assess the wear and tear of the books makes it impossible to determine whether they can still be used. Furthermore, each book is associated with different book information, and since this information varies, storing all of them in the same partition makes it difficult to find similar books in a timely manner during later searches. As a result, the information storage effect is not ideal. Summary of the Invention

[0005] To address the shortcomings of existing technologies, this invention provides an automated management system based on teaching materials, which solves the problems of inaccurate assessment of book wear and tear and lack of specific analysis of information characteristics of different books.

[0006] To achieve the above objectives, the present invention provides the following technical solution: an automated management system based on teaching materials, comprising:

[0007] The image acquisition end acquires an overall image of the appearance of the discarded teaching materials and transmits the acquired overall image to the analysis and judgment end;

[0008] The analysis and judgment end performs surface analysis on the acquired overall image and identifies abnormal areas on corresponding end faces by analyzing the integrity between each surface. Subsequently, based on the abnormal areas generated by several end faces, the type of the corresponding discarded teaching materials is determined, including distributable books and recyclable books. The specific method is as follows:

[0009] From the overall image obtained, determine the basic information of this teaching material, and extract the corresponding standard model from the storage library based on this basic information;

[0010] The end faces of the overall image are compared one by one with those of the standard model to identify the set of end faces to be compared. The overlap of two end faces within this set is analyzed, and the non-overlapping areas of the end faces in the overall image are recorded, along with the area parameter M of these non-overlapping areas. i Then, the area parameters M of several sets of non-overlapping regions are... i Perform summation to determine the combined area parameter H, then confirm the overall area value ZZ of the standard model end face, and use H÷ZZ=ZB to obtain the proportion value ZB of the combined area parameter H;

[0011] Analyze whether the percentage value ZB satisfies: ZB≥Y1, where Y1 is a preset value. If it satisfies, it means that the corresponding teaching materials are severely damaged. These teaching materials will be marked as recycled books and displayed on the display terminal. If it does not satisfy, it means that the corresponding teaching materials are slightly damaged or undamaged. These teaching materials will be marked as distributable books and displayed on the display terminal.

[0012] The IoT input terminal identifies the barcodes or RFID tags affixed to the outer surface of the dispensable books, confirms the standard information of the dispensable books, and transmits the standard information to the input package partition analysis terminal.

[0013] The user interaction terminal is a trading platform for buyers and sellers of books that can be allocated. Sellers can sell to other students through this user interaction. During the interaction process, the user interaction terminal generates purchase interaction information and transmits the generated purchase interaction information to the data entry package partition analysis terminal. The purchase process includes two methods: adding paid items and free transfer.

[0014] The data entry packet partitioning analysis terminal receives standard information transmitted from the IoT data entry terminal and purchase interaction information transmitted from the user interaction terminal. It confirms the receipt of the data packets and then compares them with keyword graphs from different partitions in the database to determine the partition to which the received data packets belong. The data packets are then directly transmitted to that partition for storage. The specific method is as follows:

[0015] Operators prioritize dividing the database into several partitions based on the relevant classifications of different teaching materials. Each partition corresponds to a specified keyword map, which is a preset map.

[0016] Confirm the received information packet for the corresponding textbook, and compare the received information packet sequentially with different keyword maps. Subsequently, based on the comparison results, identify the identical words with different keyword maps, record the number of corresponding identical words, and mark them as GS. i , where i represents different keyword maps;

[0017] From several GS i In the process, select the maximum value and determine the keyword graph corresponding to this maximum value. Then, lock the corresponding partition and transmit the received information packets of the corresponding teaching materials to the partition for storage. If there are multiple identical GS values ​​in the maximum value state... i If the maximum value cannot be selected, proceed to the next step.

[0018] GS represents multiple identical numbers that are at their maximum value. i The same words corresponding to different locking parameters are integrated, the integration sequence of the same words with different locking parameters is confirmed, the same words within the integration sequence of the same words are adjusted, and several same words are sorted in descending order of word count to confirm the integration sequence of the same words.

[0019] Two sets of identical word integration sequences are randomly selected for comparison. The number of identical words in the same position is compared. When the number of identical words in one identical word integration sequence is greater than that in the other identical word integration sequence, an extraction signal is set in one of the identical word integration sequences. The number of identical words in the same position is compared one by one. Then, the number of extraction signals in the two sets of identical word integration sequences is confirmed in turn. The set of identical word integration sequences with more extraction signals is selected. Several sets of identical word integration sequences are processed in this way one by one. The best set of identical word integration sequences is selected and marked as the best sequence.

[0020] Then, the partition corresponding to this optimal sequence is located, and the received information packets of the corresponding teaching materials are transmitted to this partition for storage.

[0021] If there are multiple optimal sequences, the corresponding partition can be randomly selected without further analysis.

[0022] Beneficial effects

[0023] This invention provides an automated management system based on teaching materials. Compared with existing technologies, it has the following advantages:

[0024] This invention confirms the overall image of the corresponding teaching material, combines it with a standard model, and then combines the corresponding end faces one by one. By combining the images, the combination area can be locked. If the corresponding surface image is not damaged, then the corresponding book is not damaged. If it is damaged, then the combination area must exist, and there must be corresponding areas that do not overlap. This locking method is not only convenient and quick, but also efficient and fast.

[0025] When storing information related to teaching materials, the first step is to determine the keywords within the received information packets. During keyword matching, each keyword is compared against the determined keyword map to identify identical words in the received information packets. By processing in this way, information packets with different characteristics can be distinguished, and information packets with similar characteristics can be stored in the same partition. This facilitates subsequent retrieval of information packets, improves storage and organization efficiency, and achieves better search and analysis results. Attached Figure Description

[0026] Figure 1 This is a schematic diagram of the principle framework of the present invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example 1

[0029] Please see Figure 1 This application provides an automated management system based on textbooks, including an image acquisition terminal, an analysis and judgment terminal, a display terminal, an IoT input terminal, a user interaction terminal, an input package partitioning and analysis terminal, and a database;

[0030] The image acquisition end is electrically connected to the input node of the analysis and judgment end, and the analysis and judgment end is electrically connected to the input node of the display end and the input node of the IoT input end. The user interaction end and the IoT input end are both electrically connected to the input node of the input package partition analysis end, and the input package partition analysis end is electrically connected to the database input node.

[0031] The image acquisition end acquires an overall image of the appearance of the discarded textbooks and transmits the acquired overall image to the analysis and judgment end. The overall image includes different images of multiple ends of the discarded textbooks. Students often discard or leave books after the course ends, resulting in waste of resources and an increase in environmental burden. Therefore, this embodiment analyzes and recycles discarded textbooks and books.

[0032] The analysis and judgment end performs surface analysis on the acquired overall image and identifies abnormal areas on corresponding end faces by analyzing the integrity between each surface. Subsequently, based on the abnormal areas generated by several end faces, the type of the corresponding discarded teaching materials is determined, including distributable books and recyclable books. The specific method for judgment is as follows:

[0033] From the overall image obtained, determine the basic information of this teaching material, and extract the corresponding standard model from the storage library based on this basic information;

[0034] The end faces of the overall image are compared one by one with those of the standard model to identify the set of end faces to be compared. The overlap of two end faces within this set is analyzed, and the non-overlapping areas of the end faces in the overall image are recorded, along with the area parameter M of these non-overlapping areas. i Then, the area parameters M of several sets of non-overlapping regions are... i Perform summation to determine the combined area parameter H, then confirm the overall area value ZZ of the standard model end face, and use H÷ZZ=ZB to obtain the proportion value ZB of the combined area parameter H;

[0035] The analysis determines whether the percentage value ZB satisfies the condition: ZB≥Y1, where Y1 is a preset value, the specific value of which is determined by the operator based on experience. If this condition is met, it means that the corresponding teaching materials are severely damaged, and such teaching materials are marked as recycled books and displayed on the display terminal. If this condition is not met, it means that the corresponding teaching materials are slightly damaged or undamaged, and such teaching materials are marked as distributable books and displayed on the display terminal.

[0036] Specifically, by analyzing the degree of damage to the surface of books, the ownership of each book can be determined. Severely damaged books can be recycled to avoid resource waste, while less severely damaged books can be redistributed and traded between users through the user interface. Operators process different books in different ways based on the specific book type displayed on the screen. By overlaying and combining images, the matching area can be locked. If the corresponding surface image is intact, the book is undamaged. If damage occurs, a matching area must exist, and there must be corresponding areas that do not overlap. This locking method is not only convenient and quick, but also highly efficient and fast.

[0037] The IoT input terminal identifies the barcodes or RFID tags affixed to the outer surface of the dispensable books, confirms the standard information of the dispensable books, and transmits the standard information to the input package partition analysis terminal.

[0038] The user interaction terminal is a trading platform for buyers and sellers of books. Sellers can sell to other students through this user interaction, thus becoming the corresponding buyers. During the interaction process, the user interaction terminal generates purchase interaction information and transmits the generated purchase interaction information to the data entry package partition analysis terminal. The purchase process includes two methods: adding paid items and free transfer.

[0039] Example 2

[0040] In the specific implementation process of this embodiment, compared with the first embodiment, the specific difference is that, in the specific storage process of the corresponding allocatable book standard information and purchase interaction information, in order to facilitate the subsequent operation personnel to find the specified specific information, in order to achieve a better allocation state, it is necessary to determine the characteristics of the information during the storage process. Then, based on the determined characteristics, a specified storage partition is set in the database, and information with different characteristics is stored sequentially.

[0041] The input packet partition analysis terminal receives the standard information transmitted by the IoT input terminal and the purchase interaction information transmitted by the user interaction terminal, confirms the receipt of the information packet, and then compares the received information packet with the keyword graph of different partitions in the database to determine the partition to which the received information packet belongs, and directly transmits it to the partition to which it belongs for storage. The specific method of comparison is as follows:

[0042] Operators prioritize dividing the database into several partitions based on the relevant classifications of different teaching materials. Each partition corresponds to a specified keyword map. The keyword map is a preset map, and the keywords within it are all determined by the operators based on their experience.

[0043] Confirm the received information packet for the corresponding textbook, and compare the received information packet sequentially with different keyword maps. Subsequently, based on the comparison results, identify the identical words with different keyword maps, record the number of corresponding identical words, and mark them as GS. i , where i represents different keyword maps;

[0044] From several GS i In the process, select the maximum value and determine the keyword graph corresponding to this maximum value. Then, lock the corresponding partition and transmit the received information packets of the corresponding teaching materials to the partition for storage. If there are multiple identical GS values ​​in the maximum value state...i If the maximum value cannot be selected, proceed to the next step.

[0045] GS represents multiple identical numbers that are at their maximum value. i The same words corresponding to different locking parameters are integrated, the integration sequence of the same words with different locking parameters is confirmed, the same words within the integration sequence of the same words are adjusted, and several same words are sorted in descending order of word count to confirm the integration sequence of the same words.

[0046] Two sets of identical word integration sequences are randomly selected for comparison. The number of identical words in the same position is compared. When the number of identical words in one identical word integration sequence is greater than that in the other identical word integration sequence, an extraction signal is set in one of the identical word integration sequences. The number of identical words in the same position is compared one by one. Then, the number of extraction signals in the two sets of identical word integration sequences is confirmed in turn. The set of identical word integration sequences with more extraction signals is selected. Several sets of identical word integration sequences are processed in this way one by one. The best set of identical word integration sequences is selected and marked as the best sequence.

[0047] Then, the partition corresponding to this optimal sequence is located, and the received information packets of the corresponding teaching materials are transmitted to this partition for storage.

[0048] If there are multiple optimal sequences, the corresponding partition can be randomly selected without further analysis.

[0049] The database also has the ability to encrypt the content within its partitions, and the encryption method is as follows:

[0050] Beforehand, identify the different information in the information packets within the storage partition, divide each group of information into two information segments, and mark them with corresponding information segment labels, namely o-1 and o-2, where o represents different information, o-1 means that this information segment belongs to the previous information segment, and o-2 means that this information segment belongs to the next information segment;

[0051] Then, the o-2 information segment is separated from the o-1 information segment and merged into the subsequent adjacent information. The o-2 information segment generated in the subsequent adjacent information is merged into the next group of information, and so on. The o-2 information segment of the last group of information is merged into the first group of information.

[0052] This method involves systematically scrambling several different pieces of information, then reorganizing and extracting them using the same logic. This process achieves overall encryption of the different information, ensuring encryption effectiveness, enabling rapid integration, and making it difficult for external personnel to steal the data. This enhances the functionality of the database while achieving data encryption.

[0053] Specifically, in order to ensure that received information packets with the same or similar characteristics can be transmitted to the same partition when stored, it is first necessary to determine the keywords inside the received information packets. Each different textbook is matched with different keywords.

[0054] When performing keyword matching, the received information packets are compared one by one according to the determined keyword map to confirm the same words. If a group of received information packets has the most same words with the keyword map, then the received information packet is most similar to the keyword map features and can be directly transmitted to the corresponding partition for storage.

[0055] If the number of identical words is the same, then it is necessary to analyze the differences between the identical words. How to distinguish them? Suppose one set of keywords has four characters, and another set of identical words has two characters. Compared with the numerous classifications in the textbook, the feature of keywords with four characters is definitely stronger than that of keywords with two characters. Therefore, by processing in this way, information receiving packets with different features can be distinguished, and information receiving packets with similar features can be stored in the same partition. This makes it easier to find information receiving packets later, improves the storage and organization effect, and also achieves a better search and analysis effect.

[0056] Example 3

[0057] In its specific implementation, this embodiment includes all the implementation processes of the two sets of embodiments described above.

[0058] Some of the data in the above formulas are numerical calculations with dimensions removed, and the contents not described in detail in this specification are all prior art known to those skilled in the art.

[0059] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. An automated management system based on textbooks, characterized in that, include: The image acquisition end acquires an overall image of the appearance of the discarded teaching materials and transmits the acquired overall image to the analysis and judgment end; The analysis and judgment end performs surface analysis on the acquired overall image and determines the abnormal areas of the corresponding end face by analyzing the integrity between each surface. Then, based on the abnormal areas generated by several end faces, it determines the type of the corresponding teaching materials, including allocable books and recyclable books. The IoT input terminal identifies the barcodes or RFID tags affixed to the outer surface of the dispensable books, confirms the standard information of the dispensable books, and transmits the standard information to the input package partition analysis terminal. The user interaction terminal is a trading platform for buyers and sellers of books that can be allocated. Sellers can sell to other students through this user interaction. During the interaction process, the user interaction terminal generates purchase interaction information and transmits the generated purchase interaction information to the data entry package partition analysis terminal. The data entry packet partition analysis terminal receives the standard information transmitted by the IoT data entry terminal and the purchase interaction information transmitted by the user interaction terminal. After confirming the receipt of the data packet, it compares the received data packet with the keyword graph of different partitions in the database, locates the partition to which the received data packet belongs, and directly transmits it to the partition to which it belongs for storage.

2. The automated management system based on teaching materials according to claim 1, characterized in that, The specific method for determining whether teaching materials are obsolete, as described in the analysis and judgment terminal, is as follows: From the overall image obtained, determine the basic information of this teaching material, and extract the corresponding standard model from the storage library based on this basic information; The end faces of the overall image are compared one by one with those of the standard model to identify the set of end faces to be compared. The overlap of two end faces within this set is analyzed, and the non-overlapping areas of the end faces in the overall image are recorded, along with the area parameter M of these non-overlapping areas. i Then, the area parameters M of several sets of non-overlapping regions are... i Perform summation to determine the combined area parameter H, then confirm the overall area value ZZ of the standard model end face, and use H÷ZZ=ZB to obtain the proportion value ZB of the combined area parameter H; The analysis determines whether the percentage value ZB satisfies the condition: ZB≥Y1, where Y1 is a preset value. If this condition is met, it indicates that the corresponding textbook is severely damaged, and such textbooks are marked as recycled books and displayed on the display terminal. If this condition is not met, it indicates that the corresponding textbook is slightly damaged or undamaged, and such textbooks are marked as distributable books and displayed on the display terminal.

3. The textbook-based automated management system according to claim 1, characterized in that, The specific method by which the input packet partitioning analysis terminal compares the received information packet with the keyword graphs of different partitions in the database is as follows: Operators prioritize dividing the database into several partitions based on the relevant classifications of different teaching materials. Each partition corresponds to a specified keyword map, which is a preset map. Confirm the received information packet for the corresponding textbook, and compare the received information packet sequentially with different keyword maps. Subsequently, based on the comparison results, identify the identical words with different keyword maps, record the number of corresponding identical words, and mark them as GS. i , where i represents different keyword maps; From several GS i In the process, select the maximum value and determine the keyword graph corresponding to this maximum value. Then, lock the corresponding partition and transmit the received information packets of the corresponding teaching materials to the partition for storage. If there are multiple identical GS values ​​in the maximum value state... i If the maximum value cannot be selected, proceed to the next step. GS represents multiple identical numbers that are at their maximum value. i The same words corresponding to different locking parameters are integrated, the integration sequence of the same words with different locking parameters is confirmed, the same words within the integration sequence of the same words are adjusted, and several same words are sorted in descending order of word count to confirm the integration sequence of the same words. Two sets of identical word integration sequences are randomly selected for comparison. The number of identical words in the same position is compared. When the number of identical words in one identical word integration sequence is greater than that in the other identical word integration sequence, an extraction signal is set in one of the identical word integration sequences. The number of identical words in the same position is compared one by one. Then, the number of extraction signals in the two sets of identical word integration sequences is confirmed in turn. The set of identical word integration sequences with more extraction signals is selected. Several sets of identical word integration sequences are processed in this way one by one. The best set of identical word integration sequences is selected and marked as the best sequence. Then, the partition corresponding to this optimal sequence is located, and the received information packets of the corresponding teaching materials are transmitted to this partition for storage.

4. The textbook-based automated management system according to claim 3, characterized in that, The specific method by which the input packet partitioning analysis terminal compares the received information packets with the keyword graphs of different partitions in the database also includes: If there are multiple optimal sequences, the corresponding partition can be randomly selected without further analysis.

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