CN118485090B - RFID cataloging data reading and writing system and method - Google Patents

Abstract

The present invention proposes an RFID catalog data reading and writing system and method, including: attaching an RFID tag for storing catalog data on each book; using a mobile robot equipped with an RFID reader and a machine vision module to scan books on each bookshelf; the machine vision module identifies the spine number of each book and the corresponding bookshelf information; the RFID reader reads the RFID tag information of the target book and uploads it to a cloud server; the cloud server queries the relevant bibliographic details according to the spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot; the RFID reader obtains the latest catalog data from the cloud server in real time; uses multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag; and writes the latest catalog data into the target RFID tag. Through the Internet of Things, machine vision, directional recognition and other technologies, the automatic reading of RFID tags and the efficient management of catalog information are realized, and the reading and writing traceability performance has a high optimization effect.

Description

RFID catalog data reading and writing system and method

Technical Field

The present invention relates to the field of communication technology, and in particular to an RFID cataloging data reading and writing system and method.

Background Art

RFID (Radio Frequency Identification) technology, also known as wireless radio frequency technology, is an important technology currently used for non-contact short-distance communication in the Internet of Things. In recent years, RFID technology has attracted people's attention as a key technology for building the Internet of Things. Compared with barcode technology, RFID technology has the advantages of non-contact, fast, readable and writable, reusable, high security, and strong anti-pollution durability.

Currently, many libraries have used RFID tags to help manage books, but the current RFID-based cataloging data reading and writing solutions are not perfect, with low automation, low accuracy, and low efficiency.

Summary of the invention

Based on the above problems, the present invention proposes an RFID cataloging data reading and writing system and method, which realizes the automatic reading of RFID tags and efficient management of cataloging information through technologies such as the Internet of Things, machine vision and directional recognition, and has a high optimization effect on the reading and writing traceability performance.

In view of this, one aspect of the present invention proposes an RFID cataloging data reading and writing system, including: an RFID tag, a mobile robot and a cloud server;

The RFID tag is attached to each book and is used to store cataloging data;

The mobile robot is equipped with an RFID reader and a machine vision module for scanning books on each bookshelf;

The machine vision module is used to identify the spine number of each book and the corresponding bookshelf information;

The RFID reader is used to read the RFID tag information of the target book and upload it to the cloud server;

The cloud server is used to query the relevant bibliographic details according to the spine number and the RFID tag information, and send the relevant bibliographic details to the mobile robot;

The RFID reader is used to obtain the latest bibliographic cataloging data from the cloud server in real time, and use multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag; it is also used to write the latest bibliographic cataloging data into the target RFID tag.

Another aspect of the present invention provides a method for reading and writing RFID catalog data, comprising:

An RFID tag for storing catalog data is attached to each book;

Use a mobile robot equipped with an RFID reader and a machine vision module to scan the books on each shelf;

The machine vision module identifies the spine number of each book and the corresponding bookshelf information;

The RFID reader reads the RFID tag information of the target book and uploads it to the cloud server;

The cloud server queries the relevant bibliographic details according to the book spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot;

The RFID reader/writer obtains the latest bibliographic cataloging data from the cloud server in real time;

The RFID reader uses multiple directional antennas combined with machine vision to identify the corresponding target RFID tag;

The latest bibliographic cataloging data is written into the target RFID tag.

Optionally, the step of attaching an RFID tag for storing cataloging data to each book includes:

Get the preset RFID tag selection and placement guidance model;

Obtain the book data of each book and the bookshelf data of the bookshelf to be displayed for each book;

Obtaining RFID tag type selection suggestions and RFID tag installation operation instructions corresponding to each book according to the RFID tag selection and installation guidance model, the book data and the bookshelf data;

Determining a first RFID tag to be used according to the RFID tag type selection suggestion;

The first FRID label is attached to the corresponding book according to the FRID label attachment operation guide.

Optionally, the step of scanning the books on each bookshelf using a mobile robot equipped with an RFID reader and a machine vision module includes:

An RFID reader/writer with a directional multi-antenna RFID reader/writer module and a machine vision module are installed on the mobile robot;

Using a preset path planning and motion control algorithm, the mobile robot is driven to visit each bookshelf in turn;

The machine vision module collects book images and bookshelf images of books on the bookshelf in real time;

The RFID reader/writer collects RFID signals and tag information of books on the bookshelf.

Optionally, the step of the machine vision module identifying the spine number of each book and the corresponding bookshelf information includes:

The machine vision module uses a preset image processing model to correct the illumination and angle of the book image and the bookshelf image respectively to obtain a first book image and a first bookshelf image;

Extracting the text area in the first book image and using OCR technology to recognize the spine number characters;

Data of a first bookshelf type, a first bookshelf specification, a first bookshelf layout, first bookshelf ancillary facilities and a first bookshelf environment are identified from the first bookshelf image as bookshelf information.

Optionally, the step of the RFID reader reading the RFID tag information of the target book and uploading it to the cloud server includes:

The RFID reader/writer uses a directional antenna combination to read multiple nearby RFID tag numbers;

The machine vision module identifies the first spine number in the current field of view and uses it as a matching reference;

In the read RFID tag number list, searching for a first RFID tag number that matches the first spine number;

If there are multiple first RFID tag numbers, adjust the antenna parameters to continue reading and matching until a unique match is found;

If the first RFID tag number is unique, the book corresponding to the first RFID tag number is determined to be the target book, and the content of the corresponding first RFID tag is read as the RFID tag information and uploaded to the cloud server.

Optionally, the cloud server queries relevant bibliographic details according to the book spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot, including:

The cloud server stores a complete book information database, which stores the mapping between the spine number, the RFID tag number and the detailed bibliographic information;

After obtaining the book spine number and the RFID tag information uploaded by the mobile robot, the cloud server performs a matching query;

If the match is successful, the cloud server extracts the relevant bibliographic details and integrates them into a data packet and sends it to the mobile robot;

The mobile robot verifies and stores the data packet after receiving it, and provides a book query application.

Optionally, the step of the RFID reader/writer acquiring the latest bibliographic cataloging data from the cloud server in real time includes:

The cloud server continuously collects bibliographic information from different sources to improve and update the book information database;

The RFID reader establishes a communication connection with the cloud server;

The RFID reader uploads the local book information and the last synchronization time to the cloud server;

The cloud server compares and, when it is identified that the RFID reader does not have new bibliographic data or the version is too low, packages the differential data and transmits it to the RFID reader through the network;

The RFID reader receives a new data packet and writes it into a local database after verifying its integrity;

The aforementioned synchronization mechanism is repeated periodically to maintain synchronization updates between the database of the cloud server and the local database of the RFID reader.

Optionally, the RFID reader uses multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag, including:

Acquiring target bookshelf location data of corresponding books from the latest book cataloging data;

The mobile robot navigates according to the target bookshelf location data, and after the machine vision module identifies the target location, the RFID reader selects a corresponding first directional antenna from the plurality of directional antenna combinations used;

Using the first directional antenna to send a tag read command to obtain multiple candidate RFID tag numbers nearby;

Matching and searching the spine number identified by the machine vision module with the plurality of candidate RFID tag numbers;

If multiple matches are found, the parameters of the first directional antenna are adjusted to change the coverage area, a new candidate RFID tag number is obtained and the matching is performed again until only one match is found, and the corresponding tag is used as the target RFID tag.

Optionally, the step of writing the latest bibliographic cataloging data into the target RFID tag comprises:

Design a data format and field content description based on a preset first encryption algorithm;

After encoding the latest bibliographic cataloging data according to the data format and field content description, the data is encrypted and packaged using the first encryption algorithm to obtain an encrypted data packet;

Read the unique tag number of the target RFID tag, and retrieve the current security status and security permissions of the target RFID tag on the cloud server according to the unique tag number;

The RFID reader sends the encrypted data packet to the target RFID tag using an encrypted communication method that matches the current security status and permissions;

The target RFID tag decrypts the encrypted data packet and verifies the data integrity and security authority, and performs writing processing after the verification is passed;

After writing, the RFID reader sends a completion mark to the cloud server.

The technical solution of the present invention is adopted, and the RFID cataloging data reading and writing method includes: attaching an RFID tag for storing cataloging data on each book; using a mobile robot equipped with an RFID reader and a machine vision module to scan the books on each bookshelf; the machine vision module identifies the spine number of each book and the corresponding bookshelf information; the RFID reader reads the RFID tag information of the target book and uploads it to the cloud server; the cloud server queries the relevant bibliographic details according to the spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot; the RFID reader obtains the latest bibliographic cataloging data from the cloud server in real time; the RFID reader uses multiple directional antennas combined with machine vision to identify the corresponding target RFID tag; and writes the latest bibliographic cataloging data into the target RFID tag. Through the Internet of Things, machine vision, directional recognition and other technologies, the automatic reading of RFID tags and the efficient management of cataloging information are realized, and the reading and writing traceability performance has a high optimization effect.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a schematic block diagram of an RFID cataloging data reading and writing system provided by one embodiment of the present invention;

FIG. 2 is a flow chart of a method for reading and writing RFID cataloging data provided by an embodiment of the present invention.

DETAILED DESCRIPTION

In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present application and the features in the embodiments can be combined with each other without conflict.

In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

An RFID cataloging data reading and writing system and method provided in some embodiments of the present invention will be described below with reference to FIGS. 1 and 2 .

As shown in FIG1 , an embodiment of the present invention provides an RFID cataloging data reading and writing system, including: an RFID tag, a mobile robot, and a cloud server;

The RFID tag is attached to each book and is used to store cataloging data;

The mobile robot is equipped with an RFID reader and a machine vision module for scanning books on each bookshelf;

The machine vision module is used to identify the spine number of each book and the corresponding bookshelf information;

The RFID reader is used to read the RFID tag information of the target book and upload it to the cloud server;

The cloud server is used to query relevant bibliographic details (including cataloging data) according to the book spine number and the RFID tag information (including the RFID tag ID), and send the relevant bibliographic details to the mobile robot (or the book management terminal; the mobile robot or the book management terminal presents the information in the form of images, sounds or texts);

The RFID reader is used to obtain the latest bibliographic cataloging data from the cloud server in real time, and use multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag; it is also used to write the latest bibliographic cataloging data into the target RFID tag.

It should be noted that the block diagram of the RFID cataloging data reading and writing system shown in FIG. 1 is for illustration only, and the number of modules shown therein does not limit the protection scope of the present invention.

Referring to FIG. 2 , another aspect of the present invention provides a method for reading and writing RFID catalog data, comprising:

An RFID tag for storing cataloging data (such as ISBN and other core information) is attached to each book (with preset cataloging data reading and writing rules, such as data format, encryption rules, etc.);

Use a mobile robot equipped with an RFID reader and a machine vision module to scan the books on each shelf;

The machine vision module (such as a smart camera) identifies the spine number of each book and the corresponding bookshelf information;

The RFID reader reads the RFID tag information of the target book and uploads it to the cloud server;

The cloud server searches for relevant bibliographic details (including cataloging data) according to the book spine number and the RFID tag information (including the RFID tag ID), and sends the relevant bibliographic details to the mobile robot (or the book management terminal; the mobile robot or the book management terminal presents the information in the form of images, sounds or texts);

The RFID reader/writer obtains the latest bibliographic cataloging data from the cloud server in real time;

The RFID reader uses multiple directional antennas combined with machine vision to identify the corresponding target RFID tag;

The latest bibliographic cataloging data is written into the target RFID tag.

It is understandable that book cataloging data includes but is not limited to the following: book number (usually a unique code, such as ISBN code, barcode, etc.), book name (including original work name and translated work name), author (including original author and translator), publishing information (such as publisher name, publication year, version, etc.), classification code (classification code of different cataloging systems, such as Dewey Decimal Classification, etc.), publishing description (including edition, price, format, number of pages, etc.), bibliographic description (including summary, review comments, etc.), book cover (cover image can be stored as attachment or link), keywords (keyword index for easy retrieval), electronic resource link (such as download link of electronic PDF, etc.), annotation information (use information such as attachment materials and return records), others (such as corresponding treasury classification code, main classification code, etc.), etc. The above are common basic cataloging elements, and different classification systems and applications may also contain other detailed information fields, which together constitute complete book record description information.

The spine number refers to the book number usually printed or attached on the spine. Generally speaking, each book will have a unique number on the spine to identify the book. This usually includes: ISBN number (International Standard Book Number, which uniquely identifies a book), publisher number (the number code for each book indicated by the publisher), barcode (book barcode containing ISBN or publisher number), book classification number (such as Dewey Decimal Classification and other identification codes in the book classification system), etc. By reading this number, the machine vision module can assist the RFID information to accurately identify the corresponding book and query detailed catalog information from the database.

By adopting the technical solution of this embodiment, the automatic reading of RFID tags and efficient management of cataloging information are realized through technologies such as the Internet of Things, machine vision and directional recognition, which has a high optimization effect on the reading and writing traceability performance.

In some possible implementations of the present invention, the step of attaching an RFID tag for storing cataloging data to each book includes:

Get the preset RFID tag selection and placement guidance model;

Obtaining book data of each book (such as three-dimensional image data of the book, book material data, etc.) and bookshelf data of the bookshelf to be displayed for each book (such as three-dimensional image data of the bookshelf, the location of the book to be displayed, etc.);

Obtaining RFID tag type selection suggestions and RFID tag installation operation instructions corresponding to each book according to the RFID tag selection and installation guidance model, the book data and the bookshelf data;

Determining a first RFID tag to be used according to the RFID tag type selection suggestion;

The first FRID label is attached to the corresponding book according to the FRID label attachment operation guide.

In this embodiment, by scientifically positioning the RFID tag installation position, multiple tags can be effectively read, reading collisions can be reduced, and the efficiency of automated reading management can be improved; at the same time, the structural characteristics of the book are taken into account to protect the service life of the book.

In some possible implementations of the present invention, the method for constructing the RFID tag selection and placement guidance model includes:

Collect a large amount of book image data of books with RFID tags for reference, and mark the book type, size, thickness, cover/inner page attributes (such as cover material, cover pattern layout, inner page material, etc.), display method and position on the bookshelf, used tag position, used tag type and other feature data;

Collect characteristics of different RFID tag types, such as size, supported communication frequency, read/write distance and other technical parameters;

Collect the shelf types, specifications, layouts, ancillary facilities (such as various sensors, smart terminals, etc.), shelf environments and other shelf attributes of different bookshelves for reference (this can be used to determine the possible display direction and location of books);

Build a deep learning model and use the previously collected data to train a basic model. This model inputs book image features and bookshelf attributes and outputs a recommendation for the best RFID tag type.

Identify the pasting location based on the book’s characteristics (such as thickness, inner page quality), and provide specific pasting instructions such as the spine/inner page edge;

Consider the possible display posture of books on the bookshelf and provide detailed guidance on the angle and position of the books;

When encountering complex samples, manual intervention can be used to correct the model output and iteratively improve the model quality;

Develop an APP to automatically recommend RFID tags and provide installation guidance after collecting pictures;

After going online, continue to monitor the installation effect, collect new samples, retrain the model, and improve accuracy.

In this embodiment, the model can provide customized guidance according to specific circumstances, which is conducive to the automation and efficient development of RFID tag management.

In some possible implementations of the present invention, the step of obtaining the RFID tag type selection suggestion and the RFID tag installation operation guide corresponding to each book according to the RFID tag selection and installation guide model, the book data and the bookshelf data includes:

Extracting data such as the size, thickness, cover material, cover pattern layout, inner page material, and display method of the book on the bookshelf from the book data as a first book data set;

Extracting data such as bookshelf type, bookshelf specifications, layout, bookshelf ancillary facilities (such as various sensors, smart terminals, etc.), and bookshelf environment from the bookshelf data as a first bookshelf data set;

Inputting the first book dataset and the first bookshelf dataset into the RFID tag selection and installation guidance model to obtain RFID tag type selection suggestions and RFID tag installation operation guidance specifically includes:

Select candidate RFID tag sizes based on the book size (e.g., a tag that matches the size of the inner cover may be selected);

According to the thickness of the book, determine whether the label is attached to the outer cover or the inner page (if the thickness of the cover or inner page is less than the first preset thickness, the label is attached to the inner cover or inner page; if the thickness of the cover or inner page is greater than the first preset thickness, in order to avoid the cover or inner page being too thick to affect the reading, the label is attached to the outer cover);

According to the cover material and pattern, avoid the cover pattern area to ensure that the signal can be read through the cover material or avoid the label blocking the pattern area;

Determine whether the material of the inner pages is suitable for direct labeling. If not, choose to paste hidden labels on the lower edge of the spine or in the middle pages;

Choose to place the label near the middle of the bookshelf so that the label can be read by multiple directional antennas on the same side.

Simulate the reading effects at different positions and select the best placement area with the largest reading distance.

In this embodiment, by scientifically locating the RFID tag attachment position, the most suitable position for attaching the tag can be selected to avoid blocking the book content and interfering with the tag signal.

In some possible implementations of the present invention, the step of scanning the books on each bookshelf using a mobile robot equipped with an RFID reader and a machine vision module includes:

An RFID reader/writer with a directional multi-antenna RFID reader/writer module and a machine vision module are installed on the mobile robot;

In this step, a directional multi-antenna RFID reading and writing module is provided to lock the designated tag position through the directivity of multiple transmitting antennas with different powers (such as using linear polarization antennas); and switching is performed among antennas with different transmitting powers so that the reading and writing distance only covers the reading range of a single tag that needs to be operated, which can further improve the accuracy of locking the designated tag position.

Using a preset path planning and motion control algorithm, the mobile robot is driven to visit each bookshelf in turn;

The machine vision module collects book images and bookshelf images of books on the bookshelf in real time;

The RFID reader/writer collects RFID signals and tag information of books on the bookshelf.

In this embodiment, it can also include: matching vision with RFID data to accurately identify individual tags; timely updating the attribute and location data of each document through cloud server storage; supporting regular automatic scanning or fixed-point inspection based on query results.

In this embodiment, fully automated collection and tracking management can be achieved, flow directions can be effectively identified, and lost documents can be checked; compared with manual scanning, work efficiency is greatly improved, and the performance is more stable and reliable, which greatly improves the level of library services.

In some possible implementations of the present invention, the step of the machine vision module identifying the spine number of each book and the corresponding bookshelf information includes:

The machine vision module uses a preset image processing model to correct the illumination and angle of the book image and the bookshelf image respectively to obtain a first book image and a first bookshelf image;

Extract the text area in the first book image, and use OCR technology to recognize the spine number characters (calling a pre-trained handwriting recognition model to support recognition of multiple number formats);

Data of a first bookshelf type, a first bookshelf specification, a first bookshelf layout, first bookshelf ancillary facilities and a first bookshelf environment are identified from the first bookshelf image as bookshelf information.

In this embodiment, it also includes: using robot positioning technology to obtain the current bookshelf location information; associating the identified spine number with the location information and storing it; collecting, identifying and storing other reference information relative to the spine (such as type classification code, etc.); continuously collecting a large number of annotated samples to train a more powerful deep learning recognition model; and cross-validating the recognition results using RFID information to eliminate false matches.

In this embodiment, fully automatic retrieval and tracking management of each book information is achieved, and the recognition accuracy is greatly improved; large-scale document management is supported, which greatly improves work efficiency; the recognition result storage supports real-time query, and inventory maintenance is more efficient.

In some possible implementations of the present invention, the step of the RFID reader reading the RFID tag information of the target book and uploading it to the cloud server includes:

The RFID reader/writer uses a directional antenna combination to read multiple nearby RFID tag numbers;

In this step, the RFID reader deploys multiple directional antennas, each with a different coverage range; the system controls to excite different directional antennas individually or simultaneously to form different coverage area combinations; the antenna sends a read command, and the nearby tags respond with signals to return their ID numbers; the reader collects feedback under different antenna combinations and extracts multiple tag numbers; the antenna combination is changed regularly, and multiple scans are performed to extract as many tag IDs as possible; the results of multiple scans are integrated, duplicates are removed, and a unique tag number list is output. In this step, multiple directional antennas expand the total coverage area, and the reading range is larger and more accurate; the antenna combination change can cover the occlusion angle and collect surrounding information; compared with a single scan, the number of extracted tags is significantly increased; it can effectively solve the problem of some tags being unable to be read due to object occlusion; and provide richer ID information for subsequent matching, which is beneficial to the recognition effect. This solution makes full use of the advantages of directional antennas to extract maximum tag information and improve reading efficiency and accuracy.

The machine vision module identifies the first spine number in the current field of view and uses it as a matching reference;

In the read RFID tag number list, searching for a first RFID tag number that matches the first spine number;

If there are multiple first RFID tag numbers, adjust the antenna parameters to continue reading and matching until a unique match is found;

If the first RFID tag number is unique, the book corresponding to the first RFID tag number is determined to be the target book, and the content (such as ISBN, location, etc.) of the corresponding first RFID tag is read as the RFID tag information and uploaded to the cloud server.

In this embodiment, the cloud implements data fusion management among different mobile robots.

In this embodiment, the target book is accurately identified through cross-verification of the RFID tag ID and visual information; multi-directional antenna reading avoids repeated reading and improves efficiency; cloud data is updated in real time and synchronized with each module; large-scale intelligent unmanned management is supported, truly realizing the "electronic bookshelf"; this implementation method can implement full automatic operation, integrating the advantages of RFID, vision and cloud computing to improve retrieval efficiency.

In some possible implementations of the present invention, the cloud server queries relevant bibliographic details according to the book spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot, including:

The cloud server stores a complete book information database, which stores the mapping between the spine number, the RFID tag number and the detailed bibliographic information;

After obtaining the book spine number and the RFID tag information uploaded by the mobile robot, the cloud server performs a matching query;

If the match is successful, the cloud server extracts the relevant bibliographic details and integrates them into a data packet (the data packet contains complete cataloging details such as book title, author, publication date, current location information, etc.) and sends it to the mobile robot (or library management terminal);

The mobile robot (or library management terminal) verifies and stores the received data packet and provides a book search application (or the mobile robot or library management terminal presents the data packet in the form of images, sounds or text).

In this embodiment, catalog information and physical resources can be automatically integrated without manual re-entry; recognition accuracy is improved to avoid data misleading caused by recognition errors; real-time data access and query are supported, and user experience is better; data consistency is stored in the cloud, and information security and reliability are improved. This implementation fully utilizes the advantages of cloud computing, effectively connects physical books and digital information, and improves the level of library management automation.

In some possible implementations of the present invention, the step of the RFID reader acquiring the latest bibliographic cataloging data from the cloud server in real time includes:

The cloud server continuously collects bibliographic information (such as purchase information, borrowing records, etc.) from different sources to improve and update the book information database;

The RFID reader establishes a communication connection with the cloud server (such as via WiFi/5G, etc.);

The RFID reader uploads the local book information and the last synchronization time to the cloud server;

The cloud server compares and, when it is identified that the RFID reader does not have new bibliographic data or the version is too low, packages the differential data and transmits it to the RFID reader through the network;

The RFID reader receives a new data packet and writes it into a local database after verifying its integrity;

The aforementioned synchronization mechanism is repeated periodically to maintain synchronization updates between the database of the cloud server and the local database of the RFID reader.

In this embodiment, real-time synchronization between the reader and the cloud bibliography database can be achieved to avoid book recognition errors due to data differences; the local information of the reader is not easy to lag behind, and the user experience is better; it supports more intelligent library management based on the latest data; this embodiment makes full use of the advantages of cloud technology for effective data synchronization to ensure the security and reliability of the reading and writing system information.

In some possible implementations of the present invention, the RFID reader uses multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag, including:

Acquiring target bookshelf location data of corresponding books from the latest book cataloging data;

The mobile robot navigates according to the target bookshelf location data, and after the machine vision module identifies the target location, the RFID reader selects a corresponding first directional antenna from the plurality of directional antenna combinations used;

Using the first directional antenna to send a tag read command to obtain multiple candidate RFID tag numbers nearby;

Matching and searching the spine number identified by the machine vision module with the plurality of candidate RFID tag numbers;

In this step, the machine vision module will identify the spine number of a book on the bookshelf, and the RFID reader/writer module will use multiple directional antennas to simultaneously read multiple RFID tag numbers in the nearby range; the system will match the spine number obtained by visual recognition with the multiple tag numbers obtained by RFID reading.

If multiple matches are found, the parameters of the first directional antenna are adjusted to change the coverage area, a new candidate RFID tag number is obtained and the matching is performed again until only one match is found, and the corresponding tag is used as the target RFID tag.

In this step, if multiple corresponding tag numbers are matched, it means that there are multiple book numbers matched within the RFID reading range, and it is impossible to determine which book it is; at this time, the RFID read/write module will adjust the parameters to change the coverage area of a single directional antenna. For example, the antenna range can be narrowed to reduce the reading area; then the nearby tag numbers are re-read to continue matching with the spine number. By changing the coverage range, it is expected that this reading can only match a unique tag number. In this way, the ambiguity of multiple matches at the beginning can be eliminated through multiple readings, and the target book can be accurately identified.

In this embodiment, multi-directional reading is combined with vision to improve recognition accuracy and sensitivity; effectively reduce the probability of misreading caused by tag information overlap; greatly improve recognition efficiency compared to a single antenna system; support stable and reliable reading in a high-density environment; and lay the foundation for subsequent automatic operations, such as automatic homing and correction. The method of this embodiment gives full play to the advantages of multi-source information fusion and improves reading performance.

In some possible implementations of the present invention, the step of writing the latest bibliographic cataloging data into the target RFID tag includes:

Design the data format and field content description based on the preset first encryption algorithm (such as AES);

In this step, an encryption algorithm is pre-selected, such as AES (Advanced Encryption Standard); based on the characteristics of the encryption algorithm, the data format that needs to be written to the RFID tag is designed, such as deciding what data type to use to represent each field, the name and order of the fields; deciding the specific content information that needs to be stored in each field, such as the book title field, the author field, etc., all require clear data types and maximum lengths. It may also be necessary to describe the rules for how to package or encode and decode data so that the subsequent data is structured and organized in this format before encryption. And the cloud and RFID readers and writers process data according to this format. Simply put, this step is to specify the internal structure format of the encrypted data in the tag before writing it, so that data transmission and storage are carried out in a standard manner.

After encoding the latest bibliographic cataloging data according to the data format and field content description, the data is encrypted and packaged using the first encryption algorithm to obtain an encrypted data packet;

Read the unique tag number of the target RFID tag, and retrieve the current security status and security permissions of the target RFID tag on the cloud server according to the unique tag number;

The RFID reader sends the encrypted data packet to the target RFID tag using an encrypted communication method that matches the current security status and permissions;

The target RFID tag decrypts the encrypted data packet and verifies the data integrity and security authority, and performs writing processing after the verification is passed;

After writing, the RFID reader sends a completion mark to the cloud server.

In this embodiment, the tag data can be stored securely and hidden to prevent unauthorized reading and writing; the data format is unified to facilitate cloud management and interaction between modules; the tag update efficiency is improved, and users do not perceive pauses; the tag status can be mastered in real time to effectively prevent data from being written incorrectly or tags from being forged. It supports cross-regional real-world customized applications and lays the foundation for expansion. The method of this embodiment improves security and reliability through cryptographic technology and provides technical support for automated management.

It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present application.

In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the above-mentioned units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the above-mentioned methods of each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.

A person skilled in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash drive, a read-only memory (English: Read-Only Memory, abbreviated as: ROM), a random access memory (English: Random Access Memory, abbreviated as: RAM), a magnetic disk or an optical disk, etc.

The embodiments of the present application are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technical personnel in this field, according to the idea of the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions without departing from the spirit and scope of the present invention, and can make various changes and modifications, including the combination of the above-mentioned different functions and implementation steps, including software and hardware implementation methods, all of which are within the scope of protection of the present invention.

Claims (7)

1. A method for reading and writing RFID catalog data, comprising: An RFID tag for storing catalog data is attached to each book; Use a mobile robot equipped with an RFID reader and a machine vision module to scan the books on each shelf; The machine vision module identifies the spine number of each book and the corresponding bookshelf information; The RFID reader reads the RFID tag information of the target book and uploads it to the cloud server; The cloud server queries the relevant bibliographic details according to the book spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot; The RFID reader/writer obtains the latest bibliographic cataloging data from the cloud server in real time; The RFID reader uses multiple directional antennas combined with machine vision to identify the corresponding target RFID tag; Writing the latest bibliographic cataloging data into the target RFID tag; The step of the RFID reader obtaining the latest bibliographic cataloging data from the cloud server in real time includes: The cloud server continuously collects bibliographic information from different sources to improve and update the book information database; The RFID reader establishes a communication connection with the cloud server; The RFID reader uploads the local book information and the last synchronization time to the cloud server; The cloud server compares and, when it is identified that the RFID reader does not have new bibliographic data or the version is too low, packages the differential data and transmits it to the RFID reader through the network; The RFID reader receives a new data packet and writes it into a local database after verifying its integrity; Repeat the aforementioned synchronization mechanism regularly to keep the database of the cloud server and the local database of the RFID reader synchronized and updated; The RFID reader uses multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag, including: Acquiring target bookshelf location data of corresponding books from the latest book cataloging data; The mobile robot navigates according to the target bookshelf location data, and after the machine vision module identifies the target location, the RFID reader selects a corresponding first directional antenna from the plurality of directional antenna combinations used; Using the first directional antenna to send a tag read command to obtain multiple candidate RFID tag numbers nearby; Matching and searching the spine number identified by the machine vision module with the plurality of candidate RFID tag numbers; If multiple matches are found, the parameters of the first directional antenna are adjusted to change the coverage area, a new candidate RFID tag number is obtained and the matching is performed again until only one match is found, and the corresponding tag is used as the target RFID tag; Wherein, the step of writing the latest bibliographic cataloging data into the target RFID tag comprises: Design a data format and field content description based on a preset first encryption algorithm; After encoding the latest bibliographic cataloging data according to the data format and field content description, the data is encrypted and packaged using the first encryption algorithm to obtain an encrypted data packet; Read the unique tag number of the target RFID tag, and retrieve the current security status and security permissions of the target RFID tag on the cloud server according to the unique tag number; The RFID reader sends the encrypted data packet to the target RFID tag using an encrypted communication method that matches the current security status and permissions; The target RFID tag decrypts the encrypted data packet and verifies the data integrity and security authority, and performs writing processing after the verification is passed; After writing, the RFID reader sends a completion mark to the cloud server. 2. The RFID catalog data reading and writing method according to claim 1, characterized in that the step of attaching an RFID tag for storing catalog data on each book comprises: Obtain a preset RFID tag selection and placement guidance model; Obtain the book data of each book and the bookshelf data of the bookshelf to be displayed for each book; Obtaining RFID tag type selection suggestions and RFID tag installation operation instructions corresponding to each book according to the RFID tag selection and installation guidance model, the book data and the bookshelf data; Determining a first RFID tag to be used according to the RFID tag type selection suggestion; The first RFID tag is attached to the corresponding book according to the RFID tag attachment operation guide. 3. The RFID catalog data reading and writing method according to claim 2, characterized in that the step of scanning the books on each bookshelf using a mobile robot equipped with an RFID reader and a machine vision module comprises: An RFID reader/writer with a directional multi-antenna RFID reader/writer module and a machine vision module are installed on the mobile robot; Using a preset path planning and motion control algorithm, the mobile robot is driven to visit each bookshelf in turn; The machine vision module collects book images and bookshelf images of books on the bookshelf in real time; The RFID reader/writer collects RFID signals and tag information of books on the bookshelf. 4. The RFID catalog data reading and writing method according to claim 3, characterized in that the step of the machine vision module identifying the spine number of each book and the corresponding bookshelf information comprises: The machine vision module uses a preset image processing model to correct the illumination and angle of the book image and the bookshelf image respectively to obtain a first book image and a first bookshelf image; Extracting the text area in the first book image and using OCR technology to recognize the spine number characters; Data of a first bookshelf type, a first bookshelf specification, a first bookshelf layout, first bookshelf ancillary facilities and a first bookshelf environment are identified from the first bookshelf image as bookshelf information. 5. The RFID cataloging data reading and writing method according to claim 4, wherein the step of the RFID reader reading the RFID tag information of the target book and uploading it to the cloud server comprises: The RFID reader/writer uses a directional antenna combination to read multiple nearby RFID tag numbers; The machine vision module identifies the first spine number in the current field of view and uses it as a matching reference; In the read RFID tag number list, searching for a first RFID tag number that matches the first spine number; If there are multiple first RFID tag numbers, adjust the antenna parameters to continue reading and matching until a unique match is found; If the first RFID tag number is unique, the book corresponding to the first RFID tag number is determined to be the target book, and the content of the corresponding first RFID tag is read as the RFID tag information and uploaded to the cloud server. 6. The RFID catalog data reading and writing method according to claim 5, characterized in that the cloud server queries the relevant bibliographic details according to the spine number and the RFID tag information, and sends the relevant bibliographic details to the mobile robot, comprising: The cloud server stores a complete book information database, which stores the mapping between the spine number, the RFID tag number and the detailed bibliographic information; After obtaining the book spine number and the RFID tag information uploaded by the mobile robot, the cloud server performs a matching query; If the match is successful, the cloud server extracts the relevant bibliographic details and integrates them into a data packet and sends it to the mobile robot; The mobile robot verifies and stores the data packet after receiving it, and provides a book query application. 7. An RFID catalog data reading and writing system, characterized in that it is used to execute the RFID catalog data reading and writing method according to any one of claims 1 to 6, comprising: an RFID tag, a mobile robot and a cloud server; The RFID tag is attached to each book and is used to store cataloging data; The mobile robot is equipped with an RFID reader and a machine vision module for scanning books on each bookshelf; The machine vision module is used to identify the spine number of each book and the corresponding bookshelf information; The RFID reader is used to read the RFID tag information of the target book and upload it to the cloud server; The cloud server is used to query relevant bibliographic details according to the book spine number and the RFID tag information, and send the relevant bibliographic details to the mobile robot; The RFID reader is used to obtain the latest bibliographic cataloging data from the cloud server in real time, and use multiple directional antennas in conjunction with machine vision to identify the corresponding target RFID tag; and is also used to write the latest bibliographic cataloging data into the target RFID tag.