RFID (Radio Frequency Identification Device), bar code associated acquisition method, system and related equipment

Abstract

The invention discloses an RFID (Radio Frequency Identification Device) and bar code associated acquisition method and system and related equipment, relates to the technical field of data processing, and solves the problems of difficulty in data verification and low data retrieval efficiency during traceability management based on an RFID and bar code technology in the prior art, and the key points of the scheme are that the method comprises the following steps: acquiring bar code information and RFID tag information which are synchronously acquired; associating the synchronously collected bar code information with the RFID tag information, and performing consistency identification on the bar code information and the RFID tag information based on the hash difference value of the effective mixed field of the common information; storing the bar code information and the RFID tag information passing the consistency identification in a system database, and creating a composite index of the system database based on the high-discrimination information and the RFID unique identifier; according to the method, the consistency of the bar code information and the RFID tag information is verified, and the composite index of the system database is created, so that the problem is solved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and more specifically, to an RFID and barcode association collection method, system and related equipment. Background Art

[0002] With the increasing complexity of global supply chains and intensified market competition, businesses are demanding higher efficiency and accuracy in logistics, inventory management, and production processes. Traditional manual record-keeping and barcode scanning methods are no longer sufficient for large-scale, high-speed data collection. The combination of RFID and barcode technology enables automated and efficient data collection and processing, helping businesses improve operational efficiency.

[0003] RFID and barcode technologies, as core technologies in the field of automatic identification and data capture (AIDC), have made significant progress in recent years. RFID technology uses radio frequency signals to achieve contactless data collection, offering advantages such as fast read speeds, the ability to read multiple tags simultaneously, and adaptability to harsh environments. Barcode technology, due to its low cost, ease of printing, and widespread applicability, remains a fundamental data collection method in many industries. The combination of the two can complement each other's strengths and meet the needs of diverse scenarios.

[0004] Laboratory reagent management has many characteristics, such as a wide variety of reagents, complex storage conditions, and high frequency of use. When applying RFID and barcode technology for traceability management, there are problems such as difficulty in data verification and low data retrieval efficiency. Summary of the Invention

[0005] The purpose of this application is to provide an RFID and barcode association collection method, system and related equipment to solve the problems of data verification difficulties and low data retrieval efficiency in the existing traceability management based on RFID and barcode technology. This application verifies the consistency of the barcode information and RFID tag information based on the hash difference of the effective mixed field of the common information, and creates a composite index of the system database based on high-discrimination information and the RFID unique identifier to solve the above problems.

[0006] In a first aspect, the present application provides an RFID and barcode association collection method, comprising: S1, obtaining barcode information and RFID tag information synchronously collected by a barcode recognition camera and an RFID reader; S2, associating the synchronously collected barcode information and RFID tag information through an RFID unique identifier, extracting common information from the barcode information and the RFID tag information, and performing consistency identification on the barcode information and the RFID tag information based on a hash difference of a valid mixed field of the common information; S3, storing the barcode information and RFID tag information that have passed the consistency identification in a system database, extracting high-discrimination information from the barcode information and the RFID tag information, and creating a composite index of the system database based on the high-discrimination information and the RFID unique identifier.

[0007] In one possible implementation, S2, the synchronously collected barcode information and RFID tag information are associated through the RFID unique identifier, the common information is extracted from the barcode information and the RFID tag information, and the barcode information and the RFID tag information are identified for consistency based on the hash difference of the valid mixed field of the common information; including: parsing the RFID unique identifier based on the RFID tag information, and associating the synchronously collected barcode information and the RFID tag information based on the RFID unique identifier; decoding and extracting the common information from the barcode information and the RFID tag information respectively, the common information including at least: reagent number, reagent information, batch number; calculating the hash difference of the valid mixed field of the common information based on the common information of the barcode information, calculating the hash difference of the valid mixed field of the common information based on the common information of the RFID tag information, and performing consistency verification on the associated barcode information and RFID tag information based on the hash difference of the valid mixed field of the common information, issuing an early warning when there is inconsistency, and storing when there is consistency.

[0008] In one possible embodiment, a consistency check is performed on the associated barcode information and RFID tag information based on a hash difference of a valid mixed field of common information; the check includes: extracting a valid field from the reagent number, reagent information, and batch number; subtracting the valid field of the reagent number from the valid field of the batch number to obtain a number difference; concatenating the number difference and the valid field of the reagent information as a mixed field; extracting part of the fields from the mixed field as a first mixed field, and extracting another part of the fields as a second mixed field; calculating a hash difference between the first mixed field and the second mixed field; and determining consistency based on the hash difference calculated for the barcode information and the hash difference calculated for the RFID tag information.

[0009] In one possible implementation, a portion of the fields is extracted from the mixed field as the first mixed field, and another portion of the fields is extracted as the second mixed field; including: extracting the odd bits of the mixed field to obtain the first mixed field, and extracting the even bits of the mixed field to obtain the second mixed field.

[0010] In one possible implementation, S3, stores the barcode information and RFID tag information that have passed consistency identification in a system database, extracts high-discrimination information from the barcode information and RFID tag information, and creates a composite index of the system database based on the high-discrimination information and the RFID unique identifier; including: setting the content stored in the system database to include: barcode information, RFID tag information and RFID unique identifier; parsing the information contained in the barcode information and RFID tag information, extracting high-discrimination information from the contained information; creating a composite index based on the high-discrimination information and the RFID unique identifier.

[0011] In one possible embodiment, information contained in barcode information and RFID tag information is parsed, and high-discrimination information is extracted from the contained information; the method includes: obtaining barcode information and RFID tag information of multiple samples; parsing information contained in the barcode information and RFID tag information, wherein the barcode information and RFID tag information contain at least common information: reagent number, reagent information, and batch number; calculating the discrimination of each type of information based on a comprehensive discrimination formula; arranging each type of information from high to low according to discrimination, and selecting the first k types of information as high-discrimination information, where k is a positive integer.

[0012] In a possible implementation, the comprehensive discrimination formula is: ; in, D For comprehensive discrimination, 、 、 is the weight coefficient, For the i The probability of a unique value appearing in the data set, n is the number of unique values, N is the total number of records in the dataset.

[0013] The present application also provides an RFID and barcode association acquisition system, including: a bracket body, an RFID reader / writer, a barcode recognition camera, an industrial tablet computer and a light source; the bracket body includes: a base, a first support perpendicular to the base, a second support perpendicular to the first support and parallel to the base, the base is embedded with an RFID reader / writer, the first support is embedded with an industrial tablet computer, the second support is embedded with a barcode recognition camera and a light source, and the RFID reader / writer, the barcode recognition camera and the light source are all connected to the industrial tablet computer; wherein, the industrial tablet computer is used to execute the RFID and barcode association acquisition method shown above.

[0014] The present application also provides a readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, the RFID and barcode association collection method shown above is implemented.

[0015] The present application also provides a computer program product, which includes computer instructions. When the computer instructions are executed by a processor, the RFID and barcode association collection method shown above is implemented.

[0016] Compared with the existing technology, the present application has the following beneficial effects: the RFID and barcode association collection method, system and related equipment provided by the present application verify the consistency of barcode information and RFID tag information based on the hash difference of the effective mixed field of the common information, and create a composite index of the system database based on high-discrimination information and RFID unique identifier, solving the problems of data verification difficulties and low data retrieval efficiency in the existing traceability management based on RFID and barcode technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of this application, and do not constitute a limitation of the embodiments of the present invention. In the drawings: Figure 1 Flowchart of the RFID and barcode association collection method provided in the embodiment of the present application; Figure 2 This is a structural diagram of the RFID and barcode association collection system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] Hereinafter, the terms "include" or "may include" as used in various embodiments of the present application indicate the presence of the claimed function, operation, or element, and do not limit the addition of one or more functions, operations, or elements. In addition, as used in various embodiments of the present application, the terms "include", "have" and their cognates are intended only to indicate specific features, numbers, steps, operations, elements, components, or combinations of the foregoing, and should not be understood as first excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations of the foregoing or the possibility of adding one or more features, numbers, steps, operations, elements, components, or combinations of the foregoing.

[0019] The terms used in the various embodiments of the present application are only used for the purpose of describing specific embodiments and are not intended to limit the various embodiments of the present application. As used herein, the singular form is intended to also include the plural form, unless the context clearly indicates otherwise. Unless otherwise specified, all terms used herein (including technical terms and scientific terms) have the same meaning as those generally understood by those skilled in the art to which the various embodiments of the present application belong. Terms (such as those defined in generally used dictionaries) will be interpreted as having the same meaning as the contextual meaning in the relevant technical field and will not be interpreted as having an idealized meaning or an overly formal meaning, unless clearly defined in the various embodiments of the present application.

[0020] In order to make the objectives, technical solutions and advantages of this application more clear, the present application is further described in detail below in conjunction with examples and drawings. The schematic implementation methods of this application and their descriptions are only used to explain this application and are not intended to limit this application.

[0021] See Figure 1 As shown, Figure 1 A flowchart of the RFID and barcode association collection method provided in an embodiment of the present application includes: S1. Obtaining barcode information and RFID tag information synchronously collected by a barcode recognition camera and an RFID reader; S2. Associating the synchronously collected barcode information and RFID tag information through an RFID unique identifier, extracting common information from the barcode information and RFID tag information, and performing consistency identification on the barcode information and RFID tag information based on the hash difference of the valid mixed field of the common information; S3. Storing the barcode information and RFID tag information that have passed the consistency identification in a system database, extracting high-discrimination information from the barcode information and RFID tag information, and creating a composite index of the system database based on the high-discrimination information and the RFID unique identifier.

[0022] As a possible implementation method, S2, the barcode information and RFID tag information collected synchronously are associated through the RFID unique identifier, the common information is extracted from the barcode information and the RFID tag information, and the barcode information and the RFID tag information are identified for consistency based on the hash difference of the valid mixed field of the common information; including: parsing the RFID unique identifier based on the RFID tag information, and associating the barcode information and RFID tag information collected synchronously based on the RFID unique identifier; decoding and extracting the common information from the barcode information and the RFID tag information respectively, the common information including at least: reagent number, reagent information, batch number; calculating the hash difference of the valid mixed field of the common information based on the common information of the barcode information, calculating the hash difference of the valid mixed field of the common information based on the common information of the RFID tag information, and performing consistency verification on the associated barcode information and RFID tag information based on the hash difference of the valid mixed field of the common information, issuing an early warning when there is inconsistency, and storing when there is consistency.

[0023] Furthermore, a consistency check is performed on the associated barcode information and RFID tag information based on the hash difference of the valid mixed fields of the common information; including: extracting valid fields from the reagent number, reagent information, and batch number; subtracting the valid field of the reagent number from the valid field of the batch number to obtain a number difference; concatenating the number difference and the valid field of the reagent information as a mixed field; extracting part of the fields from the mixed field as a first mixed field, and extracting another part of the fields as a second mixed field; calculating the hash difference between the first mixed field and the second mixed field; and determining consistency based on the hash difference calculated for the barcode information and the hash difference calculated for the RFID tag information.

[0024] Furthermore, extracting a portion of the fields from the mixed field as a first mixed field and extracting another portion of the fields as a second mixed field includes extracting the odd bits of the mixed field to obtain the first mixed field and extracting the even bits of the mixed field to obtain the second mixed field. It should be noted that it is also possible to extract the even bits of the mixed field to obtain the first mixed field and extract the odd bits of the mixed field to obtain the second mixed field.

[0025] Specifically, step S2 primarily verifies the consistency of the barcode information and the RFID tag information. This application is applied to the management of experimental reagents. To ensure the accuracy and consistency of reagents, a dual information verification mechanism based on RFID (radio frequency identification) technology and barcode (one-dimensional or two-dimensional) technology is employed. First, the RFID tag information is parsed to obtain its unique identifier (EPC code). The simultaneously collected barcode information is then associated with the RFID tag information based on this unique identifier. Subsequently, shared information is extracted from the barcode and RFID tag information. This shared information includes at least key data such as the reagent number, reagent information, and batch number. Furthermore, based on this shared information, valid fields are extracted, mixed, and a hash difference is calculated. The hash difference between the barcode information and the RFID tag information is then compared to verify the consistency of the associated barcode and RFID tag information. If the hash difference is inconsistent during the verification process, an alert is issued to alert staff to conduct a verification. If the hash difference is consistent, the associated barcode and RFID tag information is stored in a database, ensuring the accuracy and integrity of the data throughout the entire process and providing data support for subsequent sample processing or traceability.

[0026] For example, a reagent product is provided with a 2D barcode and an RFID tag. The barcode recognition camera and RFID reader / writer simultaneously capture the barcode information and RFID tag information. The shared information includes the reagent number, reagent information, and batch number. See Table 1.

[0027] Table 1 Example of shared information

[0028] Extract valid fields from the reagent number, reagent information, and batch number; such as 12345 in T12345, A in SampleA, and 2001 in Batch2001. Subtract the valid field of the reagent number from the valid field of the batch number to obtain a number difference; such as 12345-2001=10344. Concatenate the number difference and the valid field of the reagent information as a mixed field; such as 10344A. Extract part of the field from the mixed field as the first mixed field, and extract another part of the field as the second mixed field; such as 134 as the first mixed field and 04A as the second mixed field. Calculate the hash difference between the first mixed field and the second mixed field; such as Harsh(132)-Harsh(04A). Determine consistency based on the hash difference calculated based on the barcode information and the hash difference calculated based on the RFID tag information; if the hash difference calculated based on the common information of the barcode information and the hash difference calculated based on the common information of the RFID tag information are consistent, it indicates that the common information of the barcode information and the RFID tag information are consistent, that is, the association is correct.

[0029] It is understood that step S2 of the present application reduces the amount of data required for the hash operation by subtracting the reagent code and batch number; extracting the first and second mixed fields from the mixed field for hash operation further reduces the amount of data required for the hash operation. Finally, consistency is verified based on the hash difference of the barcode information and the hash difference of the RFID tag information, thereby improving the speed and reliability of the verification.

[0030] As a possible implementation method, S3, stores the barcode information and RFID tag information that have passed consistency identification in the system database, extracts high-discrimination information from the barcode information and RFID tag information, and creates a composite index of the system database based on the high-discrimination information and the RFID unique identifier; including: setting the content stored in the system database to include: barcode information, RFID tag information and RFID unique identifier; parsing the information contained in the barcode information and RFID tag information, extracting high-discrimination information from the contained information; creating a composite index based on the high-discrimination information and the RFID unique identifier.

[0031] Furthermore, the information contained in the barcode information and the RFID tag information is parsed, and high-discrimination information is extracted from the contained information; including: obtaining the barcode information and the RFID tag information of multiple samples; parsing the information contained in the barcode information and the RFID tag information, wherein the barcode information and the RFID tag information contain at least common information: reagent number, reagent information, and batch number; calculating the discrimination of each type of information based on a comprehensive discrimination formula; arranging each type of information from high to low according to the discrimination, and selecting the first k types of information as high-discrimination information, where k is a positive integer.

[0032] Furthermore, the comprehensive discrimination formula is: ; in, D For comprehensive discrimination, 、 、 is the weight coefficient, For the i The probability of a unique value appearing in the data set, n is the number of unique values, N is the total number of records in the dataset.

[0033] Specifically, step S3 involves storing the associated data. The system database is designed to store barcode information, RFID tag information, and RFID unique identifiers. To improve the efficiency and accuracy of data retrieval, the information contained in the barcode and RFID tag information is parsed to extract highly discriminative information. A composite database index is created based on the highly discriminative information and the RFID unique identifier. This index structure optimizes query performance, reduces data retrieval time, and improves overall data management efficiency.

[0034] To facilitate understanding of the discrimination calculation process, assume that the barcode information and RFID tag information of five samples are obtained; the common information (reagent number, reagent information, and batch number) is extracted from the barcode and RFID tag information; and the discrimination of the reagent number, reagent information, and batch number is calculated based on the comprehensive discrimination formula. The sample data set is shown in Table 2.

[0035] Table 2 Sample dataset

[0036] Assume that the weight coefficient in the comprehensive discrimination formula w 1=0.4, w 2=0.3, w 3=0.3.

[0037] Regarding the discrimination of reagent numbers: There are 5 unique values ​​in the reagent number data set, with a total of 5 records, and each value appears only once; therefore, its discrimination is:

[0038] Regarding the discrimination of reagent information: There are 3 unique values ​​in the reagent information data set, with a total of 5 records. NaOH appears 2 times, HCl appears 2 times, and NaCl appears 1 time. Therefore, its discrimination is:

[0039] Regarding the discrimination of batch numbers: There are 3 unique values ​​in the batch number data set, with a total of 5 records. 20240526 appears twice, 20240527 appears twice, and 20240528 appears once. Similarly, the discrimination is calculated to be 0.804.

[0040] Arrange each type of information from highest to lowest discrimination, and select the top k types of information as high-discrimination information. Create a composite index based on the high-discrimination information and the RFID unique identifier. The first field of the composite index is the RFID unique identifier, and the second field and subsequent fields contain the k high-discrimination information, sorted by discrimination.

[0041] It can be understood that step S3 of the present application can optimize query performance, reduce data retrieval time, and improve the overall efficiency of data management by extracting high-discrimination information from barcode information and RFID tag information and jointly creating a composite index with the RFID unique identifier; further, when calculating the discrimination of various types of information, the uniqueness, distribution uniformity and diversity of the information fields are comprehensively considered to obtain a comprehensive evaluation result of the discrimination of various types of information, thereby improving the accuracy of the discrimination evaluation.

[0042] The RFID and barcode-associated collection method provided in this application, based on RFID and barcode recognition, realizes the collection and storage of reagent barcode information and RFID tag information. By combining the advantages of barcode and RFID technology, laboratories can build a more efficient and accurate reagent management system, improving management level and safety.

[0043] See Figure 2 As shown, Figure 2 This is a structural diagram of the RFID and barcode association acquisition system provided in an embodiment of the present application. The system includes: a bracket body, an RFID reader 1, a barcode recognition camera 3, an industrial tablet computer 2, and a light source; the bracket body includes: a base 4, a first support perpendicular to the base, a second support perpendicular to the first support and parallel to the base, the base 4 is embedded with the RFID reader 1, the first support is embedded with the industrial tablet computer 2, the second support is embedded with the barcode recognition camera 3 and the light source, and the RFID reader 1, barcode recognition camera 3, and the light source are all connected to the industrial tablet computer 2; wherein, the industrial tablet computer 2 is used to perform the following Figure 1 The RFID and barcode association collection method shown.

[0044] Specifically, the barcode recognition camera is a high-performance image acquisition device designed specifically for industrial environments. It is primarily used to quickly and accurately read and identify various types of barcodes (1D and 2D codes) on reagent labels. The light source provides additional illumination for the barcode recognition camera in low-light environments, improving barcode recognition rates. The RFID reader / writer works in conjunction with the RFID antenna to read and write information from RFID tags.

[0045] When the system is working: it will start automatically after power is connected and enter the self-test program: it will detect the connection status of components such as RFID reader, barcode recognition camera, etc. If the connection is normal, the system is ready. Place the reagent product with barcode and RFID tag in the identification area of ​​the base, and the system will automatically collect the barcode information and RFID tag information of the reagent product; if the light in the equipment deployment environment is insufficient, the system will start its own light source to assist in collection. Figure 1 The method shown stores the associated barcode information and RFID tag information in the system's database. The system synchronously uploads the data in the database to the host computer.

[0046] It is worth noting that the RFID and barcode association acquisition system provided by this application has been tested and found that when a reagent product with a barcode or RFID tag is placed in the identification area of ​​the base, the system can accurately complete the acquisition of the label barcode and RFID code in approximately 100 milliseconds. Its recognition speed is extremely fast, almost imperceptible to the operator. This system can be widely used in scenarios such as laboratory reagent management, pharmaceutical management, logistics, and packaging production, greatly improving the work efficiency of links such as product information collection and traceability query.

[0047] The embodiment of the present application also provides a readable storage medium, which stores computer instructions, and when the computer instructions are executed by the processor, the following is achieved: Figure 1 The RFID and barcode association collection method shown.

[0048] The present application also provides a computer program product including computer instructions, which are executed by a processor to implement the following Figure 1 The RFID and barcode association collection method shown.

[0049] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A RFID and barcode association collection method, characterized in that: include: S1, obtaining barcode information and RFID tag information collected synchronously by the barcode recognition camera and the RFID reader; S2. Associating the synchronously collected barcode information and RFID tag information through an RFID unique identifier, extracting common information from the barcode information and RFID tag information, and performing consistency identification on the barcode information and RFID tag information based on a hash difference of a valid mixed field of the common information; S3. Store the barcode information and RFID tag information that have passed the consistency identification in the system database, extract high-discrimination information from the barcode information and RFID tag information, and create a composite index of the system database based on the high-discrimination information and the RFID unique identifier.

2. The RFID and barcode association collection method according to claim 1, characterized in that: S2. Associating the synchronously collected barcode information and RFID tag information through an RFID unique identifier, extracting common information from the barcode information and RFID tag information, and performing consistency identification on the barcode information and RFID tag information based on a hash difference of a valid mixed field of the common information; including: parsing the RFID unique identifier based on the RFID tag information, and associating the synchronously collected barcode information and the RFID tag information based on the RFID unique identifier; Decoding and extracting shared information from the barcode information and the RFID tag information, respectively, wherein the shared information includes at least: a reagent number, reagent information, and a batch number; The hash difference of the effective mixed fields of the common information is calculated based on the common information of the barcode information. The hash difference of the effective mixed fields of the common information is calculated based on the common information of the RFID tag information. The consistency of the associated barcode information and RFID tag information is checked based on the hash difference of the effective mixed fields of the common information. When there is inconsistency, an early warning is issued, and when there is consistency, the information is stored.

3. The RFID and barcode association collection method according to claim 2, characterized in that: Perform consistency check on the associated barcode information and RFID tag information based on the hash difference of the valid mixed fields of the common information; including: Extract valid fields from reagent number, reagent information, and batch number; Subtract the valid field of the reagent number from the valid field of the batch number to obtain a number difference; Splicing the number difference and the valid fields of the reagent information as a mixed field; Extracting a part of the fields from the mixed field as a first mixed field, and extracting another part of the fields as a second mixed field; Calculate the hash difference between the first mixed field and the second mixed field; The consistency is determined based on the hash difference calculated based on the barcode information and the hash difference calculated based on the RFID tag information.

4. The RFID and barcode association collection method according to claim 3, characterized in that: Extracting part of the fields from the mixed field as the first mixed field and extracting another part of the fields as the second mixed field; including: extracting odd bits of the mixed field to obtain the first mixed field, extracting even bits of the mixed field to obtain the second mixed field.

5. The RFID and barcode association collection method according to claim 1, characterized in that: S3. Storing the barcode information and RFID tag information that have passed consistency identification in a system database, extracting high-discrimination information from the barcode information and RFID tag information, and creating a composite index of the system database based on the high-discrimination information and the RFID unique identifier; including: The contents stored in the system database include: barcode information, RFID tag information and RFID unique identifier; Parsing information contained in the barcode information and RFID tag information, and extracting high-resolution information from the contained information; Create a composite index based on high-discrimination information and RFID unique identifiers.

6. The RFID and barcode association collection method according to claim 5, characterized in that: Parsing the information contained in the barcode information and the RFID tag information, and extracting high-resolution information from the contained information; including: Obtain barcode information and RFID tag information of multiple samples; Parsing information contained in the barcode information and the RFID tag information, wherein the barcode information and the RFID tag information contain at least common information: reagent number, reagent information, and batch number; Calculate the discrimination of each type of information based on the comprehensive discrimination formula; Arrange each type of information from high to low according to the degree of discrimination, and select the first k types of information as high-discrimination information, where k is a positive integer.

7. The RFID and barcode association collection method according to claim 6, characterized in that: The comprehensive discrimination formula is: ； in, D For comprehensive discrimination, 、 、 is the weight coefficient, For the i The probability of a unique value appearing in the data set, n is the number of unique values, N is the total number of records in the dataset.

8. An RFID and barcode associated collection system, characterized in that: include: Bracket body, RFID reader / writer, barcode recognition camera, industrial tablet computer and light source; The bracket body includes: a base, a first support perpendicular to the base, and a second support perpendicular to the first support and parallel to the base. The base is embedded with the RFID reader / writer, the first support is embedded with the industrial tablet computer, and the second support is embedded with the barcode recognition camera and the light source. The RFID reader / writer, barcode recognition camera, and light source are all connected to the industrial tablet computer. The industrial tablet computer is used to execute an RFID and barcode association collection method as described in any one of claims 1 to 7.

9. A readable storage medium, characterized in that: The readable storage medium stores computer instructions, and when the computer instructions are executed by a processor, an RFID and barcode association collection method according to any one of claims 1 to 7 is implemented.

10. A computer program product, characterized in that The computer program product includes computer instructions, and when the computer instructions are executed by a processor, the RFID and barcode association collection method according to any one of claims 1 to 7 is implemented.

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