Book label recognition method, system, readable storage medium and computer

By traversing and mapping book tags, missing information in unknown tag sets are identified and processed, false positives and misidentification problems caused by unknown and missing tags in book management are solved, and system performance and work efficiency are improved.

CN118657161BActive Publication Date: 2024-12-20GOLDEN HOUSE TECH LTD
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Patent Information

Application Number
CN202411154475.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-08-22
Publication Date
2024-12-20
Estimated Expiration
2044-08-22

AI Technical Summary

Technical Problem

In book management, because the book is not recorded by the tag recognizer or unknown and lost tags due to misoperation, false alarms and misidentification of the management system, which reduces system performance and work efficiency.

Method used

By traversing the book tags at every preset time, receiving tag information in real time, marking them as known and unknown tag sets, and label mappings are performed within the tag mapping time, splitting the tag mapping time into independent and cross-slots, identifying The missing tag information in the unknown tag set is released, and the tag processing and storage are performed.

Benefits of technology

Quickly identify and process missing tag information in unknown tag sets to prevent the impact of loss and improve the management efficiency and system performance of book tags.

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Abstract

The present invention provides a book tag recognition method, system, readable storage medium and computer, the method comprising: traversing the book tags in a preset area at preset intervals, and receiving the tag information fed back by the book tags in real time during the traversal process; marking the book tags in the preset area as a known tag set and an unknown tag set according to the characteristic bit information; performing tag mapping on the known tag set and the unknown tag set within the tag mapping time to obtain a tag mapping result; splitting all time slots of the tag mapping time into independent time slots and cross time slots, and performing result analysis on the tag mapping results according to the independent time slots and cross time slots to identify the missing tag information in the unknown tag set; performing tag processing according to the missing tag information, and performing tag storage on the tag processing results. The present invention uses a priority strategy to realize the rapid marking of book tags, so as to facilitate the rapid judgment and processing of management personnel.
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Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a book label recognition method, system, readable storage medium and computer. Background Art

[0002] With the rapid development of science and technology and the improvement of people's living standards, the Internet of Things is also gradually being optimized, involving various aspects such as item traceability, smart logistics, and smart transportation.

[0003] RFID wireless communication technology is an important technology for book management and book identification. It identifies book tags and reads and writes related data through radio signals. It has the characteristics of automatic and rapid identification and high accuracy.

[0004] In actual book management, due to the large number of books entering the warehouse, there may be books that have been entered but have not been recorded and identified by the tag identifier. In addition, due to the staff's misoperation, the items are placed incorrectly, which makes the book's label unknown or even lost. However, unknown and lost labels will cause the management system to have false alarms and misidentification problems, thereby reducing the overall system performance and work efficiency. Summary of the invention

[0005] Based on this, the purpose of the present invention is to provide a book tag recognition method, system, readable storage medium and computer to at least solve the deficiencies in the above-mentioned technology.

[0006] The present invention provides a book label recognition method, comprising:

[0007] Traversing the book tags in the preset area at preset intervals, and receiving tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information;

[0008] Marking the book tags in the preset area as a known tag set and an unknown tag set according to the feature bit information;

[0009] Creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result;

[0010] Splitting all time slots of the label mapping time into independent time slots and interleaved time slots, and analyzing the label mapping results according to the independent time slots and the interleaved time slots to identify missing label information in the unknown label set;

[0011] Label processing is performed according to the missing label information, and the label processing result is stored in a label.

[0012] Furthermore, the step of traversing the book tags in the preset area at preset intervals and receiving the tag information fed back by the book tags in real time during the traversal process includes:

[0013] Sending a query instruction to the book tags in the preset area at a preset interval, and obtaining a corresponding splitting rule according to the query instruction;

[0014] The unique identifier of the book tag is split according to the splitting rule to obtain feature bit information with feature identifiers in the book tag and corresponding priority information.

[0015] Furthermore, the step of marking the book tags in the preset area as a known tag set and an unknown tag set according to the feature bit information includes:

[0016] Vectorizing each of the feature bit information to obtain a corresponding feature vector;

[0017] Vector processing is performed on each of the feature vectors based on the vector mapping table, and book tags within the preset area are marked as a known tag set and an unknown tag set based on the vector processing result.

[0018] Further, the step of creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result includes:

[0019] Define the known label set as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels;

[0020] Creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time;

[0021] When only the tag feedback of the known tag set or the unknown tag set is received, the book tag corresponding to the tag feedback is marked as an independent tag;

[0022] When tag feedback of the known tag set and the unknown tag set is received simultaneously, the book tags corresponding to the tag feedback are marked as cross tags.

[0023] Further, the step of splitting all time slots of the label mapping time into independent time slots and cross time slots includes:

[0024] Marking the label mapping result with only one book label feedback in the label mapping time as an independent time slot, and marking the label mapping result with multiple book label feedback in the label mapping time as a cross time slot;

[0025] The label mapping result is analyzed according to the independent time slots and the cross time slots to identify missing label information in the unknown label set.

[0026] The present invention also provides a book label recognition system, comprising:

[0027] The tag feedback module is used to traverse the book tags in the preset area at preset intervals, and receive the tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information;

[0028] A label marking module, used for marking the book labels in the preset area as a known label set and an unknown label set according to the feature bit information;

[0029] A label mapping module, used to create a label mapping time, and perform label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result;

[0030] A label identification module, used for splitting all time slots of the label mapping time into independent time slots and cross time slots, and performing result analysis on the label mapping results according to the independent time slots and the cross time slots to identify missing label information in the unknown label set;

[0031] The label processing module is used to perform label processing according to the missing label information and store the label processing result in a label.

[0032] Furthermore, the label feedback module includes:

[0033] The tag query unit is used to send a query instruction to the book tags in the preset area at a preset time interval, and obtain the corresponding splitting rule according to the query instruction;

[0034] The label splitting unit is used to split the unique identifier of the book label according to the splitting rule to obtain the characteristic bit information with characteristic identifier in the book label and the corresponding priority information.

[0035] Furthermore, the label marking module includes:

[0036] A vector processing unit, used for performing vector processing on each of the feature bit information to obtain a corresponding feature vector;

[0037] The label marking unit is used to perform vector processing on each of the feature vectors based on the vector mapping table, and mark the book labels in the preset area as a known label set and an unknown label set based on the vector processing result.

[0038] Furthermore, the label mapping module includes:

[0039] The label definition unit is used to define the known label set as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels;

[0040] A label mapping unit, used for creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time;

[0041] A first label feedback unit is used to mark the book label corresponding to the label feedback as an independent label when only the label feedback of the known label set or the unknown label set is received;

[0042] The second label feedback unit is used to mark the book label corresponding to the label feedback as a cross label when label feedback of the known label set and the unknown label set are received simultaneously.

[0043] Furthermore, the tag identification module includes:

[0044] A tag identification unit, used to mark the tag mapping result of only one book tag feedback in the tag mapping time as an independent time slot, and mark the tag mapping result of multiple book tag feedback in the tag mapping time as an interleaved time slot;

[0045] A result analysis unit is used to analyze the label mapping result according to the independent time slots and the cross time slots to identify missing label information in the unknown label set.

[0046] The present invention also provides a readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned book label recognition method is implemented.

[0047] The present invention also provides a computer, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned book tag recognition method when executing the computer program.

[0048] The book tag recognition method, system, readable storage medium and computer of the present invention obtain the tag information of the book tag by traversing, and use the tag information to mark the book tag as a known tag and an unknown tag, use the tag mapping time to perform tag mapping on the known tag and the unknown tag, split the tag mapping time into independent time slots and cross time slots, so as to quickly identify the missing tag information in the unknown tag set, prevent the non-negligible impact caused by the loss of unknown tags, perform tag processing according to the missing tag information, and store the tag processing results, and use the priority strategy to realize the rapid marking of book tags, so as to facilitate the rapid judgment and processing of management personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 is a flow chart of a book tag recognition method in a first embodiment of the present invention;

[0050] Figure 2 for Figure 1 Detailed flow chart of step S101;

[0051] Figure 3 for Figure 1 Detailed flow chart of step S102;

[0052] Figure 4 for Figure 1 Detailed flow chart of step S104;

[0053] Figure 5 is a structural block diagram of a book tag recognition system in a second embodiment of the present invention;

[0054] Figure 6 FIG. 4 is a structural block diagram of a computer in a third embodiment of the present invention.

[0055] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0056] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0057] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0058] Embodiment 1

[0059] See also Figure 1 , which shows a book tag recognition method in a first embodiment of the present invention, and the method specifically includes steps S101 to S105:

[0060] S101, traversing the book tags in a preset area at a preset time interval, and receiving tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information;

[0061] For further information, see Figure 2 , the step S101 specifically includes steps S1011~S1012:

[0062] S1011, sending a query instruction to the book tags in a preset area at a preset time interval, and obtaining a corresponding splitting rule according to the query instruction;

[0063] S1012: split the unique identifier of the book tag according to the splitting rule to obtain feature bit information with feature identifiers in the book tag and corresponding priority information.

[0064] In specific implementation, the tag identifier is controlled to send a query instruction to the book tags within its range at a preset time interval (in this embodiment, the preset time is set by the user or automatically generated by the system), and the query instruction is input into a preset splitting rule mapping table for comparison to obtain a splitting rule corresponding to the query instruction, wherein the splitting rule includes a splitting method for the ID (i.e., unique identifier) ​​of the book tag, for example: the first two digits in the book tag are used to indicate the priority of the tag, usually represented by 01, 02, ..., 10, 01 indicates the highest priority, 10 indicates the lowest priority, and the priority tag length is expressed in Indicates that the third to fifth digits in a book tag are used to indicate the location and type of the book corresponding to the book tag. The third digit indicates a major category (expressed by 1-5, where 1 indicates literature and history books, 2 indicates science and technology books, 3 indicates art books, 4 indicates life books, and 5 indicates children's books), the fourth and fifth digits indicate minor categories (expressed by 1-99, corresponding to different minor types in the major category, for example: the major category of literature and history books is 1, and in its minor categories, 1 indicates novels, 2 indicates poetry, 3 indicates prose, etc.), and the sixth digit is the feature bit information of the book tag, which is used to provide feedback to the tag identifier.

[0065] Furthermore, the unique identifier of the book tag is split according to the splitting rule obtained above to identify the characteristic bit information with the characteristic identifier in the book tag and the priority information corresponding to the book tag.

[0066] S102, marking the book tags in the preset area as a known tag set and an unknown tag set according to the feature bit information;

[0067] For further information, see Figure 3 , the step S102 specifically includes steps S1021~S1022:

[0068] S1021, vectorizing each of the feature bit information to obtain a corresponding feature vector;

[0069] S1022: performing vector processing on each of the feature vectors based on the vector mapping table, and marking the book tags in the preset area as a known tag set and an unknown tag set based on the vector processing result.

[0070] In a specific implementation, the above-mentioned feature bit information is represented by a preset filter vector, and the obtained feature vector is vector processed with a preset vector mapping table. According to the vector processing result, the book tags within the range of the tag identifier are marked as known tag sets and unknown tag sets. When the tag identifier queries the book tag, the feature vector of the feature bit information will be processed. If the processing result of the feature vector does not meet the preset requirements, it means that the book tag has no response and it is marked as an unknown tag set.

[0071] S103, creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result;

[0072] Furthermore, the step S103 specifically includes steps S1031 to S1034:

[0073] S1031, define the known tag set as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels;

[0074] S1032, creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time;

[0075] S1033, when only the tag feedback of the known tag set or the unknown tag set is received, marking the book tag corresponding to the tag feedback as an independent tag;

[0076] S1034: When tag feedback of the known tag set and the unknown tag set is received simultaneously, the book tags corresponding to the tag feedback are marked as cross tags.

[0077] In the specific implementation, the known label set is defined as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels;

[0078] Specifically, a label mapping time is created for the label identifier, and label mapping is performed on the known label library and the unknown label library within the label mapping time. At this time, the label identifier broadcasts the frame length and random seed to the book tag. When the book tag calculates its current time slot status according to the random seed, the mapping results for the label are divided into two categories. When only one label (either a label in a known label set or a label in an unknown label set) is mapped to the time slot, it means that the label is an independent label. When label mappings in both the known label set and the unknown label set are received at the same time, it means that the label is a cross label.

[0079] It can be understood that cross-tags mean that there are conflicts between tags in the time slot, which may reduce the communication efficiency between the identifier and the tag, thereby reducing the time slot utilization and time efficiency. By quickly identifying cross-tags, cross-tags can be quickly processed to improve processing efficiency.

[0080] S104, splitting all time slots of the label mapping time into independent time slots and interleaved time slots, and analyzing the label mapping results according to the independent time slots and the interleaved time slots to identify missing label information in the unknown label set;

[0081] For further information, see Figure 4 , the step S104 specifically includes steps S1041-S1042:

[0082] S1041, marking a label mapping result with only one book label feedback in the label mapping time as an independent time slot, and marking a label mapping result with multiple book label feedback in the label mapping time as a cross time slot;

[0083] S1042: Analyze the label mapping result according to the independent time slots and the cross time slots to identify missing label information in the unknown label set.

[0084] In the specific implementation, the tag identifier broadcasts the query instruction to the two tag sets. The two tag sets will feedback random data to the identifier. After receiving the random data, the identifier will generate a corresponding identification random data and send it back to the two tag sets. The two tag sets will compare the identification random data with the random data they generated. If the two match in a certain tag set, the tag set will transmit the EPC code to the identifier, which means that the time slot is an independent time slot. The identifier will detect the response of the tag. At this time, the tag will be adjusted to a static state, that is, in the next time slot, it will no longer respond to the identifier's instructions; if the two match in both tag sets, it means that there is a conflict between the two tag sets, and the time slot is a cross time slot.

[0085] Specifically, the two tag sets are verified in turn to filter out tags in the cross time slots, and the tags in the cross time slots are stored in the filter vector for monitoring, so as to obtain the missing tag information in the position tag set.

[0086] S105, performing label processing according to the missing label information, and storing the label processing result in label storage.

[0087] In a specific implementation, the filter vector is used to perform label processing on the missing label information, and the priority of the missing label information is increased, so that the label identifier can quickly identify the missing label in the first time in the next query cycle.

[0088] In summary, the book tag identification method in the above embodiment of the present invention obtains the tag information of the book tag by traversing, and uses the tag information to mark the book tag as a known tag and an unknown tag, uses the tag mapping time to perform tag mapping on the known tag and the unknown tag, and divides the tag mapping time into independent time slots and cross time slots to quickly identify the missing tag information in the unknown tag set, prevent the non-negligible impact caused by the loss of unknown tags, perform tag processing according to the missing tag information, and store the tag processing results, and use the priority strategy to realize the rapid marking of book tags, so as to facilitate the rapid judgment and processing of management personnel.

[0089] Embodiment 2

[0090] Another aspect of the present invention is to provide a book tag recognition system. Figure 5 , which is a book tag recognition system in a second embodiment of the present invention, and the system comprises:

[0091] The tag feedback module 11 is used to traverse the book tags in the preset area at preset intervals, and receive the tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information;

[0092] Furthermore, the label feedback module 11 includes:

[0093] The tag query unit is used to send a query instruction to the book tags in the preset area at a preset time interval, and obtain the corresponding splitting rule according to the query instruction;

[0094] The label splitting unit is used to split the unique identifier of the book label according to the splitting rule to obtain the characteristic bit information with characteristic identifier in the book label and the corresponding priority information.

[0095] A label marking module 12, used for marking the book labels in the preset area as a known label set and an unknown label set according to the feature bit information;

[0096] Furthermore, the label marking module 12 includes:

[0097] A vector processing unit, used for performing vector processing on each of the feature bit information to obtain a corresponding feature vector;

[0098] The label marking unit is used to perform vector processing on each of the feature vectors based on the vector mapping table, and mark the book labels in the preset area as a known label set and an unknown label set based on the vector processing result.

[0099] The label mapping module 13 is used to create a label mapping time, and perform label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result;

[0100] Furthermore, the label mapping module 13 includes:

[0101] The label definition unit is used to define the known label set as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels;

[0102] A label mapping unit, used for creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time;

[0103] A first label feedback unit is used to mark the book label corresponding to the label feedback as an independent label when only the label feedback of the known label set or the unknown label set is received;

[0104] The second label feedback unit is used to mark the book label corresponding to the label feedback as a cross label when label feedback of the known label set and the unknown label set are received simultaneously.

[0105] A tag identification module 14 is used to split all time slots of the tag mapping time into independent time slots and cross time slots, and analyze the tag mapping results according to the independent time slots and the cross time slots to identify missing tag information in the unknown tag set;

[0106] Furthermore, the tag identification module 14 includes:

[0107] A tag identification unit, used to mark the tag mapping result of only one book tag feedback in the tag mapping time as an independent time slot, and mark the tag mapping result of multiple book tag feedback in the tag mapping time as an interleaved time slot;

[0108] A result analysis unit is used to analyze the label mapping result according to the independent time slots and the cross time slots to identify missing label information in the unknown label set.

[0109] The label processing module 15 is used to perform label processing according to the missing label information and store the label processing result in a label.

[0110] The functions or operation steps implemented when the above modules and units are executed are generally the same as those in the above method embodiments, and will not be repeated here.

[0111] The book tag recognition system provided in the embodiment of the present invention has the same implementation principle and technical effects as those of the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the system embodiment, reference may be made to the corresponding contents in the aforementioned method embodiment.

[0112] Embodiment 3

[0113] The present invention also provides a computer, see Figure 6 , shown is a computer in the third embodiment of the present invention, including a memory 10, a processor 20, and a computer program 30 stored in the memory 10 and executable on the processor 20. When the processor 20 executes the computer program 30, the above-mentioned book tag recognition method is implemented.

[0114] The memory 10 includes at least one type of readable storage medium, which includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a magnetic disk, an optical disk, etc. In some embodiments, the memory 10 may be an internal storage unit of a computer, such as a hard disk of the computer. In other embodiments, the memory 10 may also be an external storage device, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card, etc. Further, the memory 10 may also include both an internal storage unit of the computer and an external storage device. The memory 10 may be used not only to store application software and various types of data installed in the computer, but also to temporarily store data that has been output or is to be output.

[0115] Among them, in some embodiments, the processor 20 can be an electronic control unit (Electronic Control Unit, abbreviated as ECU, also known as a vehicle computer), a central processing unit (Central Processing Unit, CPU), a controller, a microcontroller, a microprocessor or other data processing chip, used to run the program code stored in the memory 10 or process data, such as executing access restriction programs, etc.

[0116] It should be pointed out that Figure 6 The structure shown does not constitute a limitation on the computer. In other embodiments, the computer may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0117] The embodiment of the present invention further provides a readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned book tag recognition method is implemented.

[0118] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, "computer-readable medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0119] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0120] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0121] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A book label recognition method, characterized in that: include: Traversing the book tags in the preset area at preset intervals, and receiving tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information; Marking the book tags in the preset area as a known tag set and an unknown tag set according to the feature bit information; Creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result; Splitting all time slots of the label mapping time into independent time slots and cross time slots, and performing result analysis on the label mapping results according to the independent time slots and the cross time slots to identify missing label information in the unknown label set, wherein the step of splitting all time slots of the label mapping time into independent time slots and cross time slots includes: Marking the label mapping result with only one book label feedback in the label mapping time as an independent time slot, and marking the label mapping result with multiple book label feedback in the label mapping time as a cross time slot; Analyzing the label mapping result according to the independent time slots and the cross time slots to identify missing label information in the unknown label set; Label processing is performed according to the missing label information, and the label processing result is stored in a label.

2. The book label recognition method according to claim 1, characterized in that: The steps of traversing the book tags in the preset area at preset intervals and receiving the tag information fed back by the book tags in real time during the traversal process include: Sending a query instruction to the book tags in the preset area at a preset time interval, and obtaining a corresponding splitting rule according to the query instruction; The unique identifier of the book tag is split according to the splitting rule to obtain feature bit information with feature identifiers in the book tag and corresponding priority information.

3. The book label recognition method according to claim 1, characterized in that: The step of marking the book tags in the preset area as a known tag set and an unknown tag set according to the feature bit information comprises: Vectorizing each of the feature bit information to obtain a corresponding feature vector; Vector processing is performed on each of the feature vectors based on the vector mapping table, and book labels in the preset area are marked as a known label set and an unknown label set based on the vector processing result.

4. The book tag recognition method according to claim 1, characterized in that: The steps of creating a label mapping time and performing label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result include: Define the known label set as , the unknown label set is ,in, represents the number of known labels, Indicates the number of unknown labels; Creating a label mapping time, and performing label mapping on the known label set and the unknown label set within the label mapping time; When only the tag feedback of the known tag set or the unknown tag set is received, the book tag corresponding to the tag feedback is marked as an independent tag; When tag feedback of the known tag set and the unknown tag set is received simultaneously, the book tags corresponding to the tag feedback are marked as cross tags.

5. A book label recognition system, characterized in that: include: The tag feedback module is used to traverse the book tags in the preset area at preset intervals, and receive the tag information fed back by the book tags in real time during the traversal process, wherein the tag information of each book tag contains at least one feature bit information and at least one priority information; A label marking module, used for marking the book labels in the preset area as a known label set and an unknown label set according to the feature bit information; A label mapping module, used to create a label mapping time, and perform label mapping on the known label set and the unknown label set within the label mapping time to obtain a corresponding label mapping result; A label identification module is used to split all time slots of the label mapping time into independent time slots and cross time slots, and analyze the label mapping results according to the independent time slots and the cross time slots to identify the missing label information in the unknown label set, wherein the label identification module includes: A tag identification unit, used to mark the tag mapping result of only one book tag feedback in the tag mapping time as an independent time slot, and mark the tag mapping result of multiple book tag feedback in the tag mapping time as an interleaved time slot; A result analysis unit, configured to analyze the label mapping result according to the independent time slots and the cross time slots to identify missing label information in the unknown label set; The label processing module is used to perform label processing according to the missing label information and store the label processing result in a label.

6. The book tag recognition system according to claim 5, characterized in that: The label feedback module includes: The tag query unit is used to send a query instruction to the book tags in the preset area at a preset time interval, and obtain the corresponding splitting rule according to the query instruction; The label splitting unit is used to split the unique identifier of the book label according to the splitting rule to obtain the characteristic bit information with characteristic identifier in the book label and the corresponding priority information.

7. The book tag recognition system according to claim 5, characterized in that: The label marking module includes: A vector processing unit, used for performing vector processing on each of the feature bit information to obtain a corresponding feature vector; The label marking unit is used to perform vector processing on each of the feature vectors based on the vector mapping table, and mark the book labels in the preset area as a known label set and an unknown label set based on the vector processing result.

8. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the book label recognition method according to any one of claims 1 to 4 is implemented.

9. A computer comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the book tag recognition method according to any one of claims 1 to 4 is implemented.