An RFID, bar code association acquisition method, system and related device

Abstract

The application discloses an RFID and bar code association acquisition method and system and related equipment, relates to the technical field of data processing, and solves the problems of difficult data checking and low data retrieval efficiency when traceability management is performed based on the RFID and bar code technologies.The scheme points of the application include the following steps: obtaining synchronously acquired bar code information and RFID tag information; associating the synchronously acquired bar code information and RFID tag information, performing consistency identification on the bar code information and RFID tag information based on the hash difference of the effective mixed field of the common information; storing the bar code information and RFID tag information that pass the consistency identification in a system database, and creating a composite index of the system database based on high-differentiation information and an RFID unique identifier; and checking the consistency of the bar code information and RFID tag information, and creating the composite index of the system database, so that the above problems are solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, more particularly, it relates to an RFID and barcode association acquisition method, system and related equipment. BACKGROUND

[0002] With the complication of global supply chain and the intensification of market competition, enterprises have higher and higher requirements for the efficiency and accuracy of logistics, inventory management and production process. Traditional manual recording and barcode scanning methods have been unable to meet the needs of large-scale and high-speed data acquisition. The combination of RFID and barcode technology can realize automatic and efficient data acquisition and processing, helping enterprises improve operational efficiency.

[0003] As core technologies in the field of automatic identification and data capture (AIDC), RFID and barcode technologies have made significant progress in recent years. RFID technology realizes non-contact data acquisition through wireless radio frequency signals, with the advantages of fast reading speed, simultaneous reading of multiple tags, and adaptation to harsh environments. Barcode technology, due to its low cost, easy printing and wide application, is still the basic data acquisition method in many industries. The combination of the two can complement each other's advantages and meet the needs of different scenarios.

[0004] Laboratory reagent management has the characteristics of multiple reagent types, complex storage conditions, and high use frequency, etc. When applying RFID and barcode technology for traceability management, there are problems such as difficult data verification and low data retrieval efficiency. SUMMARY

[0005] The purpose of the present application is to provide an RFID and barcode association acquisition method, system and related equipment, to solve the problems of difficult data verification and low data retrieval efficiency existing in the prior art traceability management based on RFID and barcode technology. The present 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 the high-discrimination information and the RFID unique identifier, to solve the above problems.

[0006] The first aspect of the application provides an RFID and barcode association acquisition method, comprising the following steps: S1, acquiring barcode information and RFID tag information synchronously acquired by a barcode recognition camera and an RFID reader; S2, associating the synchronously acquired 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 hash difference values of effective mixed fields of the common information; and S3, storing the barcode information and the RFID tag information passing 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 a possible implementation, the step S2 of associating the synchronously acquired 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 hash difference values of effective mixed fields of the common information comprises the following steps: parsing the RFID unique identifier based on the RFID tag information, associating the synchronously acquired barcode information and RFID tag information based on the RFID unique identifier, decoding and extracting common information from the barcode information and the RFID tag information respectively, wherein the common information at least includes reagent number, reagent information and batch number, calculating hash difference values of effective mixed fields of the common information based on the common information of the barcode information, calculating hash difference values of effective mixed fields of the common information based on the common information of the RFID tag information, and performing consistency checking on the associated barcode information and RFID tag information based on the hash difference values of the effective mixed fields of the common information, and issuing a warning when the consistency checking is inconsistent and storing when the consistency checking is consistent.

[0008] In a possible implementation, the step of performing consistency checking on the associated barcode information and RFID tag information based on hash difference values of effective mixed fields of the common information comprises the following steps: extracting effective fields from the reagent number, the reagent information and the batch number, calculating a number difference value by subtracting the effective field of the batch number from the effective field of the reagent number, splicing the number difference value and the effective field of the reagent information as a mixed field, extracting part of the fields in the mixed field as a first mixed field and extracting another part of the fields in the mixed field as a second mixed field, calculating hash difference values of the first mixed field and the second mixed field, and determining consistency based on the hash difference values calculated based on the barcode information and the hash difference values calculated based on the RFID tag information.

[0009] In a possible implementation, the step of extracting part of the fields in the mixed field as a first mixed field and extracting another part of the fields in the mixed field as a second mixed field comprises the following steps: extracting odd bits of the mixed field to obtain the first mixed field and extracting even bits of the mixed field to obtain the second mixed field.

[0010] In one possible implementation, S3, storing the barcode information and RFID tag information that have passed consistency identification in the 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: 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; and creating a composite index based on the high-discrimination information and the RFID unique identifier.

[0011] In one possible implementation, the information contained in the barcode information and RFID tag information is parsed, and high-discrimination information is extracted from the contained information; this includes: acquiring barcode information and RFID tag information of multiple samples; parsing the 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 discrimination, and selecting the top k types of information as high-discrimination information, where k is a positive integer.

[0012] In one possible implementation, the comprehensive discrimination formula is:

[0013] ;

[0014] in, D To achieve comprehensive differentiation, , , These are the weighting coefficients. For the first i The probability of a unique value appearing in the dataset. n The number of unique values. N This represents the total number of records in the dataset.

[0015] This application also provides an RFID and barcode association acquisition system, including: a support body, an RFID reader / writer, a barcode recognition camera, an industrial tablet PC, and a light source; the support 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 RFID reader / writer is embedded in the base, the industrial tablet PC is embedded in the first support, and the barcode recognition camera and light source are embedded in the second support, all of which are connected to the industrial tablet PC; wherein, the industrial tablet PC is used to execute the RFID and barcode association acquisition method described above.

[0016] The application further provides a readable storage medium, which stores computer instructions, and the computer instructions are executed by a processor to implement the RFID and barcode association acquisition method shown above.

[0017] The application further provides a computer program product, which comprises computer instructions, and the computer instructions are executed by a processor to implement the RFID and barcode association acquisition method shown above.

[0018] Compared with the prior art, the application has the following beneficial effects: the RFID and barcode association acquisition method, system and related device provided by the application check the consistency of barcode information and RFID tag information based on the hash difference of the effective mixed field of common information, and create a composite index of a system database based on high-differentiation information and an RFID unique identifier, thereby solving the problems of difficult data checking and low data retrieval efficiency existing in the prior art of traceability management based on RFID and barcode technologies. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are included to provide a further understanding of the embodiments of the application and constitute a part of this application, illustrate embodiments of the application and do not limit the application. In the drawings:

[0020] Figure 1 A flowchart of the RFID and barcode association acquisition method provided by the embodiments of the application is shown in the figure.

[0021] Figure 2 A structure diagram of the RFID and barcode association acquisition system provided by the embodiments of the application is shown in the figure. DETAILED DESCRIPTION

[0022] Hereinafter, the term "include" or "may include" used in various embodiments of the application indicates the existence of the claimed function, operation or element, and does not limit the addition of one or more functions, operations or elements. In addition, as used in various embodiments of the application, the terms "include", "have" and their synonyms only mean to indicate the presence of a specific feature, number, step, operation, element, component or combination of the foregoing, and should not be understood as first excluding the presence or addition of one or more other features, numbers, steps, operations, elements, components or combinations of the foregoing or the possibility of one or more features, numbers, steps, operations, elements, components or combinations of the foregoing.

[0023] The terminology used in the various embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the various embodiments of the present application. As used herein, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the present application belong. The terms, such as terms defined in commonly used dictionaries, should be interpreted as having a meaning that is identical to the meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined in the various embodiments of the present application.

[0024] In order to make the purposes, technical solutions and advantages of the present application clearer, further specific description will be given to the present application in combination with the embodiments and drawings, and the schematic embodiments of the present application and the description thereof are only used for explaining the present application and not for limiting the present application.

[0025] Please refer to Figure 1 as shown, Figure 1 The flow chart of the RFID and bar code association acquisition method provided by the embodiments of the present application, the method comprises: S1, acquiring the bar code information and RFID tag information synchronously acquired by a bar code recognition camera and an RFID reader; S2, associating the synchronously acquired bar code information and RFID tag information through an RFID unique identifier, extracting common information from the bar code information and RFID tag information, and performing consistency identification on the bar code information and RFID tag information based on the hash difference of the effective mixed field of the common information; S3, storing the bar code information and RFID tag information passing the consistency identification in a system database, extracting high-discrimination information from the bar code 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.

[0026] As a possible implementation, S2, the synchronously collected barcode information and RFID tag information are associated through the RFID unique identifier, common information is extracted from the barcode information and the RFID tag information, and consistency identification is performed on the barcode information and the RFID tag information based on the hash difference value of the effective mixed field of the common information; including: based on the RFID tag information, the RFID unique identifier is parsed, and the synchronously collected barcode information and RFID tag information are associated based on the RFID unique identifier; common information is extracted from the barcode information and the RFID tag information respectively, and the common information at least includes: reagent number, reagent information, batch number; the hash difference value of the effective mixed field of the common information is calculated based on the common information of the barcode information, the hash difference value of the effective mixed field of the common information is calculated based on the common information of the RFID tag information, and the consistency of the associated barcode information and RFID tag information is verified based on the hash difference value of the effective mixed field of the common information. When it is inconsistent, a warning is issued, and when it is consistent, it is stored.

[0027] Further, the consistency of the associated barcode information and RFID tag information is verified based on the hash difference value of the effective mixed field of the common information; including: extracting the effective field from the reagent number, the reagent information and the batch number; the effective field of the reagent number is subtracted from the effective field of the batch number to obtain a number difference; the number difference and the effective field of the reagent information are spliced as a mixed field; part of the field in the mixed field is extracted as a first mixed field, and another part of the field is extracted as a second mixed field; the hash difference value of the first mixed field and the second mixed field is calculated; based on the hash difference value calculated by the barcode information and the hash difference value calculated by the RFID tag information, the consistency is determined.

[0028] Further, part of the field in the mixed field is extracted as a first mixed field, and another part of the field is extracted as a 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. It should be noted that the even bits of the mixed field can also be extracted to obtain the first mixed field, and the odd bits of the mixed field can also be extracted to obtain the second mixed field.

[0029] Specifically, step S2 is mainly to verify the consistency of the barcode information and the RFID tag information. The present application is applied to the scene of experimental reagent management. In order to ensure the accuracy and consistency of the reagent, a double information verification mechanism based on RFID (Radio Frequency Identification) technology and barcode (one-dimensional barcode, two-dimensional barcode) technology is adopted. First, by analyzing the RFID tag information, the unique identifier (EPC code) is obtained, and then the synchronously collected barcode information and the RFID tag information are associated based on the unique identifier. Subsequently, the common information is extracted from the barcode information and the RFID tag information, respectively, and the common information at least includes: reagent number, reagent information, and batch number and other key data. Further, based on these common information, effective field extraction, mixing and calculation of hash difference are carried out, and the consistency verification of the associated barcode information and RFID tag information is realized by comparing the hash difference of the barcode information with the hash difference of the RFID tag information. If the hash difference is found to be inconsistent in the verification process, a warning signal is issued to remind the staff to check; when the hash difference is consistent, the associated barcode information and RFID tag information are stored in the database, thereby ensuring the accuracy and integrity of the data in the whole process and providing data support for subsequent sample processing or traceability.

[0030] For example, a two-dimensional barcode and an RFID tag are arranged on the reagent product, and the barcode information and the RFID tag information are synchronously collected based on the barcode recognition camera and the RFID reader, wherein the common information includes: reagent number, reagent information, and batch number. Please refer to Table 1.

[0031] Table 1 Common information example

[0032]

[0033] Extract the valid fields from the reagent number, reagent information, batch number; such as 12345 in T12345, A in SampleA, 2001 in Batch2001. Subtract the valid fields of the reagent number from the valid fields of the batch number to obtain the number difference; such as 12345-2001=10344. Concatenate the number difference and the valid fields of the reagent information as the mixed field; such as 10344A. Extract part of the mixed field as the first mixed field and extract another part of the mixed 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 value of the first mixed field and the second mixed field; such as Harsh(132)-Harsh(04A). Determine the consistency based on the hash difference value calculated based on the barcode information and the hash difference value calculated based on the RFID tag information; such as the hash difference value calculated based on the common information of the barcode information and the hash difference value calculated based on the common information of the RFID tag information are consistent, indicating that the common information of the barcode information and the RFID tag information is consistent, i.e. the association is correct.

[0034] It can be understood that the step S2 of the present application reduces the data amount of the hash operation by subtracting the reagent code and the batch number; and further reduces the data amount of the hash operation by extracting the first and second mixed fields from the mixed field for hash operation. Finally, the consistency is verified based on the hash difference value of the barcode information and the hash difference value of the RFID tag information, improving the speed and reliability of the verification.

[0035] As a possible implementation, S3, the barcode information and the RFID tag information that pass the consistency identification are stored in the system database, high-differentiation information is extracted from the barcode information and the RFID tag information, and a composite index of the system database is created based on the high-differentiation 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; analyzing the information contained in the barcode information and the RFID tag information, and extracting high-differentiation information from the contained information; creating a composite index based on the high-differentiation information and the RFID unique identifier.

[0036] Further, analyzing the information contained in the barcode information and the RFID tag information, and extracting high-differentiation information from the contained information; including: obtaining the barcode information and the RFID tag information of a plurality of samples; analyzing the information contained in the barcode information and the RFID tag information, and the barcode information and the RFID tag information at least contain common information: reagent number, reagent information, batch number; calculating the differentiation degree of each type of information based on the comprehensive differentiation formula; arranging each type of information from high to low according to the differentiation degree, and selecting the top k types of information as high-differentiation information, k being a positive integer.

[0037] Further, the comprehensive differentiation formula is:

[0038] ;

[0039] wherein, D is the comprehensive distinguishability, , , is the weight coefficient, is the probability of the i th unique value appearing in the dataset, n is the number of unique values, N is the total number of records in the dataset.

[0040] Specifically, step S3 is to store the associated data. The system database is designed to store barcode information, RFID tag information, and RFID unique identifiers. In order to improve the efficiency and accuracy of data retrieval, the information contained in the barcode information and RFID tag information is parsed to extract information with high distinguishability. Based on the high distinguishability information and the RFID unique identifier, a composite index of the database is created, based on which the query performance can be optimized, the data retrieval time can be reduced, and the overall efficiency of data management can be improved.

[0041] To facilitate the understanding of the process of distinguishability calculation. Assume that the barcode information and RFID tag information of 5 samples are obtained; the common information of reagent number, reagent information, and batch number is extracted from the barcode information and RFID tag information; the distinguishability of reagent number, reagent information, and batch number is calculated based on the comprehensive distinguishability formula, and the sample dataset is shown in Table 2.

[0042] Table 2 Sample dataset

[0043]

[0044] Assume that the weight coefficients in the comprehensive distinguishability formula are w 1=0.4, w 2=0.3, w 3=0.3.

[0045] The distinguishability of reagent number: there are 5 unique values in the dataset of reagent number, and the total number of records is 5, each value appears only once; therefore, its distinguishability is:

[0046]

[0047] The distinguishability of reagent information: there are 3 unique values in the dataset of reagent information, and the total number of records is 5, NaOH appears 2 times, HCl appears 2 times, and NaCl appears 1 time; therefore, its distinguishability is:

[0048]

[0049] Distinctness of batch number: there are 3 unique values in the data set of batch number, the total number of records is 5, 20240526 appears 2 times, 20240527 appears 2 times, and 20240528 appears 1 time; similarly, the distinctness is calculated as: 0.804.

[0050] Arrange each type of information in descending order of distinctness, and select the top k types of information as high-distinctness information. Create a composite index based on the high-distinctness information and the RFID unique identifier. The first field of the composite index is the RFID unique identifier, and the second field is the k high-distinctness information, which is sorted in descending order of distinctness.

[0051] It can be understood that the step S3 of the present application creates a composite index by extracting high-distinctness information from the barcode information and the RFID tag information together with the RFID unique identifier, which can optimize query performance, reduce data retrieval time, and improve the overall efficiency of data management; further, when calculating the distinctness of each type of information, the uniqueness, uniformity and diversity of the information field are considered comprehensively to obtain a comprehensive evaluation result of the distinctness of each type of information, and the accuracy of the distinctness evaluation is improved.

[0052] The RFID and barcode association acquisition method provided by the present application realizes the acquisition and storage of reagent barcode information and RFID tag information on the basis of RFID and barcode identification. By combining the advantages of barcode and RFID technology, the laboratory can build a more efficient and accurate reagent management system to improve management level and security.

[0053] Please refer to Figure 2 As shown in the figure, Figure 2 The structure diagram of the RFID and barcode association acquisition system provided by the embodiments of the present application. The system comprises: a support body, an RFID reader / writer 1, a barcode recognition camera 3, an industrial tablet computer 2 and a light source; the support body comprises: 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 / writer 1, the first support is embedded with the industrial tablet computer 2, and the second support is embedded with the barcode recognition camera 3 and the light source, the RFID reader / writer 1, the barcode recognition camera 3 and the light source are all connected with the industrial tablet computer 2; wherein the industrial tablet computer 2 is used to execute the RFID and barcode association acquisition method as shown in the figure. Figure 1 As shown in the figure.

[0054] Specifically, a barcode recognition camera is a high-performance image acquisition device designed specifically for industrial environments. It is primarily used for quickly and accurately reading and recognizing various types of barcodes (1D and 2D) on reagent labels. A light source provides additional illumination for the barcode recognition camera in low-light conditions, improving barcode recognition rates. An RFID reader / writer works with an RFID antenna to read and write RFID tag information.

[0055] When the system is working: it automatically starts upon power connection and enters a self-test program: checking the connection status of components such as the RFID reader / writer and barcode recognition camera. If the connection is normal, the system is ready. Place reagent products with barcodes and RFID tags on the recognition area of ​​the base, and the system automatically collects the barcode and RFID tag information of the reagent products. If the ambient light is insufficient, the system will activate its built-in light source to assist in data collection. The industrial panel PC executes the following... Figure 1 The method shown stores the associated barcode and RFID tag information in the system's database. The system then synchronously uploads the data from the database to the host computer.

[0056] It is worth noting that the RFID and barcode association data collection system provided in this application, after actual testing, can accurately collect the label barcode and RFID code within approximately 100ms when reagent products with barcodes and RFID tags are placed in the identification area of ​​the base. Its identification speed is extremely fast, almost imperceptible to operators. This system can be widely used in laboratory reagent management, pharmaceutical management, logistics, packaging production, and other scenarios, greatly improving the efficiency of product information collection and traceability.

[0057] This application embodiment also provides a readable storage medium storing computer instructions, which, when executed by a processor, implement... Figure 1 The RFID and barcode association data collection methods are shown.

[0058] This application also provides a computer program product, which includes computer instructions that, when executed by a processor, implement... Figure 1 The RFID and barcode association data collection methods are shown.

[0059] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments 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 within the scope of protection of the present invention.

Claims

1. A method for data collection based on RFID and barcode association, characterized in that, include: S1. Acquire barcode information and RFID tag information synchronously collected by the barcode recognition camera and RFID reader / writer; S2. Associate the synchronously collected barcode information and RFID tag information with a unique RFID identifier, extract common information from the barcode information and RFID tag information, and perform consistency identification on the barcode information and RFID tag information based on the hash difference of the effective mixed fields 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. Specifically, the consistency of associated barcode information and RFID tag information is verified based on the hash difference of valid mixed fields of shared information. The barcode information and RFID tag information contain at least the following shared information: reagent number, reagent information, and batch number. This process includes: extracting valid fields from the reagent number, reagent information, and batch number; subtracting the valid fields of the reagent number and the batch number to obtain the number difference; concatenating the number difference and the valid fields of the reagent information to form a mixed field; extracting a portion of the mixed field as a first mixed field and another portion as a second mixed field; calculating the hash difference between the first and second mixed fields; and determining consistency based on the hash difference calculated from the barcode information and the hash difference calculated from the RFID tag information. Extracting highly distinguishable information from barcode and RFID tag information, including: acquiring barcode and RFID tag information from multiple samples; Analyze the information contained in barcodes and RFID tags; The discrimination index of each type of information is calculated based on a comprehensive discrimination index formula; the comprehensive discrimination index formula is: Where D represents the overall discrimination index. , , These are the weighting coefficients. Let be the probability of the i-th unique value appearing in the dataset, n be the number of unique values, and N be the total number of records in the dataset; Arrange each type of information in descending order of its discriminative power, and select the top k types of information as the high-discriminative-power information, where k is a positive integer.

2. The RFID and barcode association collection method according to claim 1, characterized in that, S2. Associate the synchronously collected barcode information and RFID tag information using a unique RFID identifier, extract common information from the barcode information and RFID tag information, and perform consistency identification on the barcode information and RFID tag information based on the hash difference of the effective mixed fields of the common information; including: Based on the RFID tag information, the unique RFID identifier is parsed, and the barcode information and RFID tag information collected simultaneously are associated based on the unique RFID identifier; Common information is extracted from the barcode information and RFID tag information respectively. The common information includes at least: reagent number, reagent information, and batch number. The hash difference of the effective mixed fields of the shared information is calculated based on the shared information of the barcode information. The hash difference of the effective mixed fields of the shared information is calculated based on the shared 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 shared information. When they are inconsistent, an early warning is issued. When they are consistent, they are stored.

3. The RFID and barcode association collection method according to claim 2, characterized in that, Extracting a portion of the fields from the mixed field to form a first mixed field, and extracting another portion of the fields to form a second mixed field; including: extracting the odd-numbered bits of the mixed field to obtain the first mixed field, and extracting the even-numbered bits of the mixed field to obtain the second mixed field.

4. The RFID and barcode association collection method according to claim 1, characterized in that, S3. Store the barcode and RFID tag information that have passed consistency identification in the system database; extract high-discrimination information from the barcode and RFID tag information; and create a composite index for the system database based on the high-discrimination information and the RFID unique identifier; including: The system database stores the following information: barcode information, RFID tag information, and RFID unique identifiers. The information contained in the barcode information and RFID tag information is analyzed, and high-discrimination information is extracted from the contained information; A composite index is created based on highly distinguishable information and RFID unique identifiers.

5. An RFID and barcode-linked data collection system, characterized in that, include: The main support frame, RFID reader / writer, barcode recognition camera, industrial panel PC, and light source; The main body of the bracket 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 RFID reader is embedded in the base, the industrial tablet PC is embedded in the first support, and the barcode recognition camera and light source are embedded in the second support. The RFID reader, barcode recognition camera and light source are all connected to the industrial tablet PC. The industrial tablet computer is used to execute an RFID and barcode association acquisition method as described in any one of claims 1-4.

6. A readable storage medium, characterized in that, The readable storage medium stores computer instructions, which, when executed by a processor, implement an RFID and barcode association collection method as described in any one of claims 1-4.

7. A computer program product, characterized in that, The computer program product includes computer instructions, which, when executed by a processor, implement an RFID and barcode association collection method as described in any one of claims 1-4.

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