Rfid-based logistics information management method, device, medium and product

Abstract

The application discloses a logistics information management method and device based on RFID, medium and product, and relates to the field of logistics information management.The method comprises the following steps: acquiring electromagnetic signal spectrum data of the surrounding environment of goods; determining the frequency range of interference signals existing in the surrounding environment according to the electromagnetic signal spectrum data; determining the candidate working frequency range of the RFID reader-writer based on the frequency range of interference signals and the electromagnetic signal spectrum data; determining the target working frequency according to the performance index of each candidate working frequency in the candidate working frequency range; performing handshake communication between the RFID reader-writer and the RFID tag to synchronize the target working frequency; receiving the logistics information transmitted by the RFID reader-writer after the RFID reader-writer and the tag establish a connection through the target working frequency; and storing the logistics information into a logistics information database.The application can alleviate the problem of reducing the accuracy and efficiency of logistics information management due to environmental electromagnetic interference.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of logistics information management, and in particular to a logistics information management method, device, medium and product based on RFID. BACKGROUND

[0002] Currently, RFID (Radio Frequency Identification) technology is widely used in logistics information management. It realizes the automation, real-time and precision of inventory management through wireless identification and tracking of goods.

[0003] The RFID logistics information management system can improve the speed of goods processing, reduce manual errors, optimize inventory control, enhance supply chain transparency, and support automated warehouse management, thereby significantly improving logistics efficiency and reducing costs.

[0004] In related technologies, due to the complex and diverse logistics environment, there are various electromagnetic interference sources such as Wi-Fi devices, Bluetooth devices and industrial devices, which can seriously affect the communication quality between the RFID reader and the tag, leading to tag recognition errors, unstable data transmission and other problems, reducing the accuracy and efficiency of logistics information management. SUMMARY

[0005] To solve the above technical problems and defects, the purpose of the present application is to provide a logistics information management method, device, medium and product based on RFID, which can alleviate the problem of reducing the accuracy and efficiency of logistics information management due to environmental electromagnetic interference.

[0006] To achieve the above purpose, in a first aspect, the present application provides a logistics information management method based on RFID, comprising: acquiring electromagnetic signal spectrum data of the surrounding environment of the goods; determining the frequency range of the interference signal existing in the surrounding environment according to the electromagnetic signal spectrum data; determining the candidate working frequency range of the RFID reader based on the interference signal frequency range and the electromagnetic signal spectrum data; determining the target working frequency according to the performance indicators of each candidate working frequency in the candidate working frequency range, the performance indicators including signal strength, signal interference degree and data transmission rate; after the working frequency of the RFID reader is adjusted to the target working frequency, performing handshake communication between the RFID reader and the RFID tag of the goods through the RFID reader, so that the working frequency of the RFID tag is adjusted to the target working frequency; after the RFID reader and the RFID tag establish a communication connection through the target working frequency, receiving the logistics information of the goods transmitted by the RFID reader, the logistics information being read from the RFID tag by the RFID reader; storing the logistics information into a logistics information database.

[0007] The application adopts the above method, first acquires the electromagnetic signal spectrum data of the environment around the goods, and determines the interference signal frequency range according to the data, thereby providing guarantee for the stable operation of the RFID system in a complex electromagnetic environment. It can effectively identify and avoid interference signal sources, avoid communication errors between the RFID reader and the RFID tag and data loss caused by electromagnetic interference, thereby improving the accuracy and reliability of the logistics information collection. Secondly, by comprehensively considering the signal strength, signal interference degree and data transmission rate and other performance indicators, the target working frequency of the RFID reader is accurately determined, the communication performance of the system is optimized, and the adaptability of the RFID system in different environments is enhanced. Moreover, through the handshake communication mechanism of the RFID reader and the RFID tag, the synchronous adjustment of the tag working frequency is realized, further ensuring the stability of the communication and the efficiency of the data transmission. Finally, the read logistics information is stored in the logistics information database, providing real-time and accurate data support for each link of the logistics information management, making the tracking, inventory management, transportation scheduling and other operations of the goods more intelligent and automated, and improving the accuracy and efficiency of the logistics information management.

[0008] In some embodiments in combination with some embodiments of the first aspect, the target working frequency is determined according to the performance indicators of each candidate working frequency in the candidate working frequency range, including: determining the performance score of each candidate working frequency according to the performance indicators; and determining the candidate working frequency with the highest performance score as the target working frequency.

[0009] The technical solution of the embodiment introduces a performance score mechanism to determine the target working frequency, providing a scientific and quantitative frequency selection method for the RFID system. First, it converts the complex performance indicators (signal strength, signal interference degree and data transmission rate) into performance scores that are easy to compare, making the frequency selection process more intuitive and efficient. Secondly, it can comprehensively consider multiple performance indicators to ensure that the selected target working frequency has the best overall performance in terms of communication quality, anti-interference ability and transmission efficiency, thereby significantly improving the communication stability and data transmission reliability of the RFID system in a complex electromagnetic environment. In addition, the calculation process of the performance score also provides flexibility for the system, which can adjust the weight factors in the scoring formula according to actual needs to adapt to different application scenarios and performance requirements, thereby enhancing the adaptability and robustness of the RFID system.

[0010] In some embodiments in combination with some embodiments of the first aspect, the performance score of each candidate working frequency is determined according to the performance indicators, including: calculating the performance score through a performance score formula, and the performance score formula includes:

[0011]

[0012] Wherein, P represents performance score, S represents signal strength, S0 represents preset reference signal strength, I represents signal interference degree, R represents data transmission rate, and a, b, g are adjustment factors respectively.

[0013] The technical scheme of the embodiment comprehensively considers three key performance indicators, i.e., signal strength, signal interference degree and data transmission rate, and obtains the performance score through mathematical operation, so that the frequency selection process is more scientific and reasonable. The a-th power of the absolute value difference of the signal strength emphasizes the relative size between the signal strength and the reference value, and the square root of the data transmission rate multiplied by b balances the contribution of the transmission rate to the performance score. The exponential function e γI In the denominator, the interference degree is effectively highlighted to have a negative impact on the performance score. The introduction of the adjustment factors a, b and g provides a flexible adjustment means for the system, and the weights of the indicators can be adjusted according to the actual situation to adapt to different communication environments and performance requirements. This formula not only improves the accuracy of frequency selection, but also provides strong technical support for the optimization and improvement of the RFID system, which helps to improve the overall performance and stability of the system.

[0014] In combination with some embodiments of the first aspect, in some embodiments, after storing the logistics information into the logistics information database, the method further comprises: obtaining current positioning information of the goods and logistics information update time, generating logistics update information according to the logistics information, the positioning information and the logistics information update time; and sending the logistics update information to the RFID reader, so that the RFID reader writes the logistics update information into the RFID tag.

[0015] The technical scheme of the embodiment introduces the generation and writing mechanism of the logistics update information, and enhances the real-time and accuracy of the logistics information. By obtaining the positioning information of the goods and the logistics information update time, the system can timely capture the latest changes of the state of the goods, and generate update information containing the latest logistics information. Sending these update information to the RFID reader and writing them into the RFID tag makes the logistics information of the goods always keep the latest state. This process not only improves the efficiency of goods tracking and management, but also provides more reliable data support for subsequent logistics decision. Logistics personnel can quickly understand the real-time state and position of the goods by reading the latest information on the RFID tag, so as to make more accurate sorting, storage and transportation decisions, reduce the logistics error rate, improve the accuracy and efficiency of logistics operation, and also enhance the response capability and flexibility of the logistics system.

[0016] In some embodiments in combination with the first aspect, the generating the logistics update information according to the logistics information, the positioning information, and the logistics information update time comprises: obtaining environment information of the current location of the goods; and generating the logistics update information according to the logistics information, the positioning information, the logistics information update time, and the environment information.

[0017] The technical solution of the present embodiment introduces environment information of the current location of the goods into the generation process of the logistics update information, providing more comprehensive and accurate data support for logistics management. The environment information includes key parameters such as temperature, humidity, illumination, and vibration, which have a significant impact on the storage and transportation quality of the goods. By combining these environment information with logistics information, positioning information, and logistics information update time, the generated logistics update information can more accurately reflect the real state of the goods in the actual logistics process. For example, the manager can learn whether the goods have experienced extreme temperature or humidity conditions during transportation, so that appropriate protective measures can be taken in time to prevent damage to the goods. In addition, the introduction of environment information also provides a basis for optimizing the storage and transportation conditions of the goods, helps to improve the integrity rate of the goods and the quality of logistics services, reduces the logistics risk and cost, and enhances the reliability and customer satisfaction of the logistics system.

[0018] In some embodiments in combination with the first aspect, after receiving the logistics information of the goods transmitted by the RFID reader, the method further comprises: sending the logistics information to an AR device worn by a logistics personnel to assist the logistics personnel in sorting or storing the goods.

[0019] The technical solution of the present embodiment sends the logistics information to the AR device worn by the logistics personnel, bringing revolutionary changes to logistics operations. The AR device can superimpose the logistics information in the form of augmented reality into the field of view of the logistics personnel, enabling the logistics personnel to intuitively see detailed information of the goods, such as name, model, destination, etc. This intuitive information presentation improves the identification and processing efficiency of the logistics personnel for the goods, reducing the sorting and storage error rate. When performing sorting or storage operations, the logistics personnel can quickly find the target goods and accurately place them in the designated location according to the guidance provided by the AR device. This process not only improves the speed and accuracy of logistics operations, but also reduces the workload of the logistics personnel, reduces labor intensity, and improves the overall efficiency and quality of logistics operations. At the same time, the application of AR devices provides a safer and more convenient working environment for logistics personnel, enhancing the intelligence and modernization level of the logistics system.

[0020] In some embodiments of the first aspect, in some embodiments, the determining, according to the electromagnetic signal spectrum data, a frequency range of the interference signal present in the surrounding environment comprises: extracting key feature data from the electromagnetic signal spectrum data; inputting the key feature data into a preset interference signal identification model to obtain the frequency range of the interference signal.

[0021] The technical solution of the embodiment achieves accurate identification of the frequency range of the interference signal by extracting key feature data from the electromagnetic signal spectrum data and inputting the key feature data into a preset interference signal identification model. This process provides an important basis for frequency selection of the RFID system in a complex electromagnetic environment. First, the key feature data extracted from the spectrum data, such as peak frequency, bandwidth, and power spectral density, can effectively represent the characteristics of the interference signal and provide accurate input information for the identification of the model. Second, the preset interference signal identification model is trained and optimized a large number of times and has strong pattern recognition capability, which can accurately distinguish the interference signal from the normal signal and thus determine the frequency range of the interference signal. This identification process not only improves the perception capability of the RFID system for the interference signal, but also provides a scientific basis for subsequent frequency optimization and interference avoidance, so that the RFID system can more flexibly adapt to different electromagnetic environments, ensures the stability of communication and the reliability of data transmission, and enhances the application effect and competitiveness of the RFID system in logistics information management.

[0022] In the second aspect, the embodiments of the present application provide an electronic device, comprising: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code comprises computer instructions, and the one or more processors invoke the computer instructions to enable the electronic device to perform the method described in the first aspect or the second aspect and any possible implementation manner of the first aspect or the second aspect.

[0023] In the third aspect, the present application provides a computer-readable storage medium comprising instructions, which, when executed on the electronic device, cause the electronic device to perform the method described in the first aspect or the second aspect and any possible implementation manner of the first aspect or the second aspect.

[0024] In the fourth aspect, the present application provides a computer program product comprising instructions, which, when executed on the electronic device, cause the electronic device to perform the method described in the first aspect or the second aspect and any possible implementation manner of the first aspect or the second aspect.

[0025] It can be understood that the electronic device provided in the second aspect, the storage medium provided in the third aspect, and the computer program product provided in the fourth aspect are all used to execute the method provided in the present application. Therefore, the beneficial effects achieved thereby can refer to the beneficial effects in the corresponding method, which will not be described here again.

[0026] The one or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0027] 1. The present application provides a scientific frequency selection basis for RFID readers by acquiring electromagnetic signal spectrum data and identifying the interference signal frequency range. By dynamically adjusting the working frequency of the RFID reader to the optimal frequency, the influence of electromagnetic interference on RFID communication is effectively avoided. This process ensures stable communication between the RFID reader and the tag in a complex electromagnetic environment, reduces the risk of signal loss and data errors caused by interference, and improves the accuracy and reliability of logistics information collection. Stable communication is the basis of logistics information management, which provides a solid guarantee for the efficient operation of the entire logistics system.

[0028] 2. The present application not only realizes real-time collection of logistics information, but also realizes dynamic updating of logistics information by generating logistics update information and writing it into the RFID tag. Combined with the positioning information of the goods, the logistics information update time and the environmental information, the generated logistics update information can fully reflect the latest state and position of the goods. This real-time updating mechanism makes logistics management more flexible and efficient, and managers can grasp the dynamic changes of goods at any time and make timely adjustments and decisions. At the same time, storing the update information into the logistics information database provides rich data resources for subsequent data analysis and decision support, enhancing the response capability and management efficiency of the logistics system.

[0029] 3. The present application realizes the visualization of logistics information by sending logistics information to the AR device worn by the logistics personnel. The AR device presents the logistics information in the field of view of the logistics personnel in the form of augmented reality, enabling the logistics personnel to intuitively obtain detailed information and operation instructions of the goods. This intelligent assistance greatly improves the identification and processing efficiency of the logistics personnel, reduces the sorting and storage error rate, and reduces the workload of the personnel. At the same time, the automatic frequency adjustment and information updating mechanism in the scheme reduces manual intervention, further improves the automation level of logistics operations, promotes the intelligent development of the logistics industry, and enhances the competitiveness of logistics enterprises. BRIEF DESCRIPTION OF DRAWINGS

[0030] The accompanying drawings, which are incorporated into and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained from these drawings without creative labor for those skilled in the art. In the drawings:

[0031] Figure 1 is a schematic diagram of an RFID logistics information management system architecture according to an embodiment of the present application;

[0032] Figure 2 is a schematic diagram of an RFID-based logistics information management method according to an embodiment of the present application;

[0033] Figure 3 is a schematic diagram of another RFID-based logistics information management method according to an embodiment of the present application;

[0034] Figure 4 is a schematic diagram of an electronic device architecture according to an embodiment of the present application. DETAILED DESCRIPTION

[0035] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments and are not intended to be limiting of the present application. As used in the specification of the present application, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "and / or" as used herein refer to any or all possible combinations of one or more of the associated listed items.

[0036] Hereinafter, the terms "first" and "second" are used only for the purpose of description and should not be understood as implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined with "first" and "second" can explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, the meaning of "a plurality of" is two or more, unless otherwise specified.

[0037] It should also be noted that, unless otherwise explicitly specified and limited, the terms "set", "connected", and the like in the embodiments of the present application should be understood in a broad sense. For example, "connected" can be fixedly connected, or detachably connected, or integrally connected; can be mechanically connected, or electrically connected; can be directly connected, or indirectly connected through an intermediate medium; can be internal communication of two elements; can be wired communication connection, or wireless communication connection. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances. The embodiments of the present application will be specifically described below.

[0038] The embodiment of the present application provides a logistics information management method based on RFID, which is applied to an RFID logistics information management system. Figure 1 As shown in the figure, the RFID logistics information management system comprises an RFID reader-writer 101, an RFID tag 102, a spectrum sensing unit 103 and a control processing unit 104.

[0039] The control processing unit 104 is connected with the RFID reader-writer 101 and the spectrum sensing unit 103 respectively. The RFID tag 102 is arranged on the goods in logistics. The spectrum sensing unit 103 can adopt some electromagnetic signal detection instruments, which can scan and detect the spectrum characteristics of the surrounding electromagnetic environment and convert the received electromagnetic signals into spectrum data.

[0040] The logistics information management method based on RFID in the embodiment gives an effective countermeasure for the problem that the logistics environment is complex and the electromagnetic interference affects the quality of RFID communication. Firstly, the electromagnetic signal spectrum data of the environment around the goods is acquired by the spectrum sensing unit 103, which can identify the interference signal source existing in the environment and the frequency range occupied by the interference signal source. This step utilizes signal processing technology to provide a scientific basis for subsequent frequency selection. Then, the control processing unit 104 can determine the candidate working frequency range of the RFID reader-writer 101 based on the frequency range of the interference signal source and the electromagnetic signal spectrum data, which avoids the frequency conflict with the interference signal source. Further, by evaluating the performance indexes of each candidate working frequency, including signal strength, signal interference degree and data transmission rate, the optimal target working frequency can be accurately determined. After adjusting the working frequency of the RFID reader-writer 101 and the RFID tag 102 to the target frequency, the logistics information is read from the RFID tag 102 by the RFID reader-writer 101 and stored to the logistics information database, which ensures the stability of RFID communication and the accuracy of data transmission, thereby improving the accuracy and efficiency of logistics information management.

[0041] The logistics information management method based on RFID in the embodiment will be specifically described below with reference to the accompanying drawings. Figure 2 The logistics information management method based on RFID in the embodiment comprises the following steps:

[0042] Step 201: Acquire the electromagnetic signal spectrum data of the environment around the goods.

[0043] Among them, the spectrum data is the data describing the characteristics of electromagnetic signals in the frequency domain, which shows the intensity or power distribution of signals at different frequencies. Through the spectrum data, the frequency composition, bandwidth range and the relative intensity of each frequency component of the signal can be observed intuitively. The horizontal axis of the spectrum data represents the frequency, and the vertical axis represents the signal intensity or power. It can reveal the frequency characteristics of the signal, help identify the signal source, analyze the signal quality, and detect interference, etc.

[0044] In this embodiment, the control processing unit first sends a scanning instruction to the spectrum sensing unit to start the spectrum sensing unit to scan and detect the spectrum characteristics of the surrounding electromagnetic environment. After receiving the instruction, the spectrum sensing unit uses the built-in antenna and radio frequency receiving module to capture the electromagnetic signals in a specific frequency range in real time. The spectrum sensing unit converts the received electromagnetic signals into digital spectrum data through down-conversion, analog-to-digital conversion and other processes. Subsequently, the spectrum sensing unit transmits these spectrum data to the control processing unit through the communication interface (such as serial port, Ethernet, etc.) connected with the control processing unit.

[0045] After receiving the spectrum data, the control processing unit uses signal processing algorithms to analyze and analyze it, and extracts the electromagnetic signal spectrum characteristics of the surrounding environment of the goods, including signal frequency, intensity, bandwidth, etc.

[0046] Through this process, the control processing unit successfully obtains the electromagnetic signal spectrum data of the surrounding environment of the goods, which lays a foundation for subsequent determination of the frequency range of the interference signal and optimization of the working frequency of the RFID reader.

[0047] Step 202, according to the electromagnetic signal spectrum data, determine the frequency range of the interference signal existing in the surrounding environment.

[0048] Specifically, the control processing unit first pre-processes the received spectrum data, including filtering and denoising and normalization, to improve data quality. Then use the spectrum analysis algorithm, such as fast Fourier transform (FFT), to convert the time domain signal to the frequency domain signal, and generate a detailed spectrum graph. In the spectrum graph, the control processing unit identifies the peak value area where the signal intensity is obviously higher than the background noise, which usually represents the frequency position of the interference signal.

[0049] By analyzing the frequency range and duration of these peaks, combined with the known RFID working frequency range, the control processing unit can accurately determine the frequency range occupied by the interference signal source. In addition, the control processing unit will also consider the bandwidth and power spectral density of the interference signal, further verify and refine the determination of the interference frequency range, so as to provide accurate basis for the working frequency optimization of the RFID reader.

[0050] Step 203, based on the interference signal frequency range and the electromagnetic signal spectrum data, determine the candidate working frequency range of the RFID reader.

[0051] Specifically, the control processing unit first eliminates the frequency interval occupied by the interference signal source from the spectrum data, i.e. excludes the interference signal frequency range. After identifying the frequency range of the interference signal by analyzing the spectrum graph, the control processing unit excludes it from the frequency range that the RFID logistics information management system can work in, to avoid frequency overlap with the interference signal. Then, the control processing unit will evaluate the signal characteristics in the remaining frequency interval, such as the stability and continuity of signal strength, and whether there are other potential interference sources. In this process, the performance requirements of the RFID logistics information management system, such as data transmission rate, read-write distance and tag response time, are also considered to ensure that the candidate frequency can meet the communication needs of the system. In addition, the control processing unit may conduct simulation tests on the candidate frequencies to simulate the communication between the RFID reader and the tag at these frequencies, further verifying their feasibility. Finally, taking into account the above factors, the control processing unit determines multiple candidate working frequency ranges, which not only avoid the interference signal source, but also ensure the efficient and stable operation of the RFID logistics information management system.

[0052] Step 204, according to the performance indicators of each candidate working frequency in the candidate working frequency range, determine the target working frequency.

[0053] Among them, the performance indicators include signal strength, signal interference level and data transmission rate. Signal strength refers to the amplitude of the electric field or magnetic field of the electromagnetic signal at the receiving point, usually measured in decibels (dB) or watts (W), which determines the ability of the signal to be clearly captured and decoded by the receiving device. Signal interference level describes the negative impact of other electromagnetic signals on the target signal transmission at this candidate working frequency, including noise, clutter, etc., which affects the clarity and reliability of the signal. Data transmission rate, also known as bit rate, refers to the amount of data transmitted per unit time, usually measured in bits per second (bps), which reflects the speed and efficiency of the communication system in transmitting information.

[0054] Specifically, the control processing unit will comprehensively evaluate each frequency in the candidate working frequency range and select the desired target working frequency based on key performance indicators. First, the control processing unit will detect the signal strength at each candidate frequency and select the frequency with higher and more stable signal strength to ensure that the tag information can be accurately read. Second, the control processing unit will analyze the spectrum data to identify frequencies with less interference to reduce the risk of data transmission errors and communication interruptions. At the same time, the control processing unit will test the data transmission rate at each candidate frequency and select the frequency that can support high-speed data transmission to speed up the collection and processing of logistics information.

[0055] After considering these performance indicators, the control processing unit applies optimization algorithms such as weighted scoring or multi-objective optimization to score and rank each candidate frequency, ultimately determining the target operating frequency that meets the expected comprehensive performance. This process fully considers the practical application requirements of the RFID logistics information management system and the complexity of the electromagnetic environment, ensuring that the RFID reader can operate at the optimal frequency, thereby improving the accuracy and efficiency of logistics information management.

[0056] Step 205, after the operating frequency of the RFID reader is adjusted to the target operating frequency, the RFID reader and the RFID tag of the goods perform handshake communication to adjust the operating frequency of the RFID tag to the target operating frequency.

[0057] Specifically, the control processing unit initiates the handshake communication process between the RFID reader and the RFID tag on the goods to ensure that the operating frequency of the tag is synchronized with the reader to adjust to the target operating frequency. Handshake communication is a protocol mechanism used to establish and confirm the communication connection between both parties.

[0058] First, the RFID reader sends a handshake signal containing information about the target operating frequency. After receiving this signal, the RFID tag adjusts its oscillator frequency according to the instructions in the signal to match the target operating frequency. In this process, the RFID tag's radio frequency circuit adjusts accordingly to ensure it can work normally at the new frequency. At the same time, the RFID tag sends a response signal to the reader indicating that the frequency adjustment has been completed and it is ready for data communication. After receiving the response signal from the tag, the RFID reader confirms the success of the handshake communication and begins normal data exchange with the tag.

[0059] Through this handshake communication mechanism, the RFID logistics information management system can ensure that the RFID reader and the RFID tag establish a stable communication connection at the optimal frequency, thereby improving the accuracy and reliability of data transmission. This process is crucial for the stable operation of the RFID logistics information management system in complex electromagnetic environments, allowing it to adapt flexibly to different frequency requirements, reduce interference, and improve overall performance.

[0060] Step 206, after the RFID reader and the RFID tag establish a communication connection through the target operating frequency, receive the logistics information of the goods transmitted by the RFID reader, which is read from the RFID tag by the RFID reader.

[0061] Specifically, the RFID reader initiates a data reading process to obtain the logistics information of the goods. This process begins with the reader sending a query signal to the RFID tag, which contains specific instructions for the tag to provide the information stored in its memory.

[0062] Upon receiving the query signal, the RFID tag activates its internal circuitry and retrieves the relevant data from its memory, such as the unique identifier of the goods, product type, production date, batch number, destination, storage conditions, shipping route, and shipping time. These data serve as the logistics information of the goods.

[0063] Subsequently, the RFID tag encodes these data into electromagnetic signals and transmits them back to the RFID reader in the form of radio waves through the antenna. Upon receiving these signals, the antenna of the RFID reader converts them into digital signals and transmits them to the control processing unit for decoding and processing.

[0064] The control processing unit analyzes the received logistics information to verify its integrity and accuracy. Through this process, the RFID logistics information management system can obtain detailed logistics information of the goods in real time and accurately, providing key data support for various aspects of logistics management, thereby achieving full tracking and monitoring of goods, optimizing inventory management, improving logistics efficiency, and ensuring timely delivery and safe arrival of goods.

[0065] Step 207: Store the logistics information into the logistics information database.

[0066] This process ensures the persistence and traceability of data, providing a solid foundation for subsequent logistics decision-making and analysis. First, after receiving the goods logistics information transmitted by the RFID reader, the control processing unit will perform formatting processing to convert it into a database recognizable data format, such as JSON, XML, or table structure in a relational database. Then, the control processing unit will establish a connection with the logistics information database according to the pre-set database connection parameters. The database usually uses a relational database management system (RDBMS), such as MySQL, Oracle, or SQL Server, which provides data storage and query functions. The control processing unit inserts the processed logistics information into the corresponding database table by executing SQL statements. Each piece of goods information is stored as a record containing multiple fields, such as goods ID, product type, production date, batch number, destination, and storage conditions. The logistics information database assigns a unique identifier to each record to facilitate subsequent query and update operations. In addition, the logistics information database has data integrity constraints and index optimization functions to ensure data accuracy and query efficiency.

[0067] The stored logistics information can be conveniently accessed and analyzed, and the management personnel can use the data for inventory management, order processing, transportation scheduling, cost accounting, etc., to realize the intelligentization and automation of logistics business. At the same time, the logistics information database also supports the storage and query of historical data, providing valuable data resources for the long-term planning and strategic decision-making of logistics enterprises.

[0068] The embodiment realizes accurate identification and avoidance of interference signals in the logistics environment by the above method steps, combined with electromagnetic signal spectrum analysis and RFID technology, thereby significantly improving the communication quality and data transmission stability of the RFID logistics information management system in complex electromagnetic environments, and ensuring the accuracy and efficiency of logistics information management.

[0069] Firstly, the embodiment can effectively reduce the RFID tag recognition errors and data loss problems caused by electromagnetic interference, improve the accuracy and reliability of logistics information collection, and provide a solid data foundation for each link of logistics management. Secondly, by dynamically adjusting the working frequency of the RFID reader, the performance of the system is optimized, the adaptability of the RFID logistics information management system in different environments is enhanced, and the continuity and efficiency of logistics information management are ensured. In addition, the embodiment also improves the real-time and transparency of logistics information, making the tracking and monitoring of goods more accurate, which helps to realize fine management of inventory, reduce inventory cost, and improve logistics efficiency. At the same time, accurate logistics information also provides strong support for enterprise decision-making, which helps to optimize supply chain management and improve the market competitiveness of enterprises.

[0070] The following will be combined Figure 3 to further explain the RFID-based logistics information management method of the embodiment, which specifically includes the following steps:

[0071] Step 301, obtaining electromagnetic signal spectrum data of the surrounding environment of the goods.

[0072] This step can refer to the description of the foregoing embodiments, which will not be repeated here.

[0073] Step 302, extracting key feature data from the electromagnetic signal spectrum data.

[0074] Specifically, the control processing unit first pre-processes the received electromagnetic signal spectrum data to improve the quality and analyzability of the data. The pre-processing process includes filtering and denoising to remove noise components in the spectrum data and retain useful signal information; normalization processing to unify data of different dimensions and orders of magnitude to a standard range, facilitating subsequent analysis.

[0075] Next, the control processing unit extracts key feature data from the processed spectral data using a feature extraction algorithm. These feature data include the peak frequency of the signal, which is the frequency point with the highest signal intensity in the spectrogram, and is usually closely related to the frequency characteristics of the signal source; the bandwidth, which is the frequency range occupied by the signal, reflects the frequency distribution of the signal; the power spectral density, which represents the signal power per unit frequency, can reflect the intensity distribution characteristics of the signal; and the modulation characteristics, such as the modulation type and parameters of the signal, which help to distinguish different types of signal sources.

[0076] By extracting these key feature data, the control processing unit can provide accurate input information for subsequent interference signal identification, laying the foundation for model judgment and analysis.

[0077] Step 303, input the key feature data into the preset interference signal identification model to obtain the interference signal frequency range.

[0078] The control processing unit inputs the key feature data extracted from the spectral data into the preset interference signal identification model. The interference signal identification model is trained based on a large amount of historical data and can identify the frequency range of the interference signal according to the input feature data. The interference signal identification model usually uses machine learning or deep learning algorithms inside, such as support vector machine (SVM), random forest, neural network, etc., which have strong pattern recognition and classification ability.

[0079] The interference signal identification model will consider the input feature data such as peak frequency, bandwidth, power spectral density and modulation characteristics, etc., and through internal calculation and analysis, it will judge which frequency range the signal belongs to. The output result of the model is the frequency range of the interference signal, which provides an important reference for the RFID logistics information management system, so that the system can avoid these interference frequencies and select appropriate communication frequencies, thereby improving the communication quality and data transmission stability of the RFID logistics information management system in complex electromagnetic environments.

[0080] Through this step, the control processing unit can accurately identify the interference signal source, providing a scientific basis for subsequent frequency optimization and interference avoidance.

[0081] In this embodiment, the training process of the interference signal identification model is as follows:

[0082] First, a large amount of electromagnetic signal spectral data needs to be collected as training samples, which should cover a variety of typical interference signal sources such as Wi-Fi, Bluetooth, industrial equipment, etc., as well as normal RFID communication signals.

[0083] Next, the raw data is pre-processed, including filtering and denoising, normalization, etc., to improve data quality. Then, key features such as peak frequency, bandwidth, power spectral density, modulation characteristics, etc. are extracted from the processed data, which can effectively represent the characteristics of the signal.

[0084] The extracted features are then combined with the corresponding labels (interference signals or normal signals) to form a training data set. Select a suitable machine learning or deep learning algorithm, such as support vector machine (SVM), random forest, neural network, etc., to build an interference signal recognition model.

[0085] Through algorithm learning and training on the training data set, the model will automatically adjust the internal parameters according to the relationship between the features and the labels, optimize the decision boundary, and achieve accurate classification of interference signals.

[0086] During training, the data set is usually divided into training set and validation set, the training set is used for model training, and the validation set is used to evaluate the performance of the model, such as accuracy, recall rate, etc., to prevent model overfitting.

[0087] After multiple iterations of training and parameter optimization, a good performance and strong generalization ability of the interference signal recognition model is obtained, which can accurately identify the frequency range of the interference signal in the complex electromagnetic environment, and provide strong support for the frequency optimization and communication quality improvement of the RFID logistics information management system.

[0088] Step 304, based on the interference signal frequency range and electromagnetic signal spectrum data, determine the candidate working frequency range of the RFID reader.

[0089] This step can refer to the description of the foregoing embodiments, which will not be repeated here.

[0090] Step 305, according to the performance index to determine the performance score of each candidate working frequency.

[0091] First, the control processing unit will collect the performance index data related to each candidate frequency, including signal strength, signal interference level and data transmission rate, etc. Key parameters. Signal strength reflects the clarity of communication between RFID reader and RFID tag, higher signal strength usually means better communication quality; signal interference level measures the interference of other electromagnetic signals on this frequency, lower interference level helps to improve the reliability of data transmission; data transmission rate indicates the information transmission speed that can be achieved at this frequency, higher rate can speed up the collection and processing of logistics information.

[0092] Then, the control processing unit will calculate the performance score of each candidate operating frequency according to the preset scoring rules or algorithms, taking into account the importance of each indicator. For example, the weighted sum method can be used to multiply the signal strength, interference level and transmission rate by the corresponding weight coefficients, and then add them up to get the total score.

[0093] This process provides a quantitative basis for subsequent selection of the optimal operating frequency, ensuring the scientificity and rationality of frequency selection.

[0094] In some embodiments, the performance score can be calculated by a performance score formula, which includes:

[0095]

[0096] Where P represents the performance score. e is the natural constant.

[0097] S represents the signal strength, which can be measured by the receiving module of the RFID reader to the signal emitted by the RFID tag. The antenna of the RFID reader will capture the radio wave signal from the RFID tag, and then convert these signals into electrical signals. The signal processing circuit inside the RFID reader will amplify, filter and demodulate the electrical signals, and extract the strength information of the signal. Signal strength is usually expressed in power units (such as milliwatts or watts) or decibels (dBm). Through the interface or communication protocol of the RFID reader, the control processing unit can obtain the signal strength value S, which is an important indicator of the communication quality between the RFID reader and the tag, reflecting the attenuation and loss of the signal in the transmission process.

[0098] S0 represents the preset reference signal strength, which can be set according to the signal strength of the RFID logistics information management system in an ideal interference-free environment or system design requirements, or determined by experiment to a standard value.

[0099] I represents the signal interference level, which can be determined by spectrum analysis and signal detection. The spectrum sensing unit will monitor the electromagnetic environment within the operating frequency range of the RFID logistics information management system in real time, capturing various electromagnetic signals. The control processing unit analyzes the received spectrum data and identifies the characteristics of the interference signal, such as frequency, bandwidth and power. Then, the power of the interference signal is compared with the power of the RFID signal, and the ratio of interference to signal (such as signal-to-noise ratio) is calculated, or the strength of the interference signal is directly measured. This ratio or strength value is the signal interference level I, which reflects the degree of influence of the interference signal on the RFID communication.

[0100] R represents the data transmission rate, which is determined by analyzing the communication protocol and data transmission process between the RFID reader and the RFID tag. In the RFID logistics information management system, the data transmission rate is usually specified by the communication protocol between the reader and the tag, such as the UHF RFID communication rate specified in the ISO / IEC 18000-6C standard. The control processing unit can calculate the theoretical data transmission rate according to the parameter settings of the communication protocol, such as carrier frequency, modulation method, encoding scheme, etc. In addition, the actual data transmission rate can also be measured through actual communication testing, that is, the amount of data successfully read or written by the reader from the tag within a certain time divided by the time to obtain the actual data transmission rate value R.

[0101] α, β, γ are adjustment factors, which can be determined by experiments or historical data analysis to balance the influence of signal strength, signal interference level and data transmission rate on performance score.

[0102] In this embodiment, the performance score formula fully considers the communication quality of the RFID logistics information management system in complex electromagnetic environment, and provides a quantitative performance score for each candidate working frequency by comprehensively evaluating the three key performance indicators of signal strength, signal interference level and data transmission rate.

[0103] In the formula, the absolute value of the difference between the signal strength S and the reference signal strength S0 raised to the power of α reflects the relative size and importance of the signal strength relative to the reference value, where α is an adjustment factor that can adjust the influence of signal strength on performance score.

[0104] The square root of the data transmission rate R multiplied by β takes into account the contribution of data transmission rate to performance score, where β is an adjustment factor that can balance the weight of data transmission rate and signal strength in performance score.

[0105] The exponential function e γI In the denominator, e

[0106] Step 306: Determine the candidate working frequency with the highest performance score as the target working frequency.

[0107] The working frequency with the highest performance score has the best comprehensive performance in key performance indicators such as signal strength, interference level, and data transmission rate, and can provide the best communication effect and data transmission performance for the RFID logistics information management system. By comparing the performance scores of each candidate frequency, the unit can quickly lock the optimal frequency. After determining the target working frequency, the control processing unit sends instructions to the RFID reader to adjust its working frequency to the target frequency, and synchronously guides the RFID tag to adjust to the same frequency, to ensure that the communication between the reader and the tag is carried out in the best state.

[0108] This process not only improves the anti-interference ability of the RFID logistics information management system in a complex electromagnetic environment, but also optimizes the overall performance of the system, providing a strong guarantee for accurate collection and efficient management of logistics information, and significantly improving the efficiency and reliability of logistics information management.

[0109] Step 307, the RFID reader and the RFID tag of the goods perform handshake communication, so that the working frequency of the RFID tag is adjusted to the target working frequency.

[0110] This step can refer to the description of the aforementioned embodiments, which will not be repeated here.

[0111] Step 308, after the RFID reader and the RFID tag establish a communication connection through the target working frequency, the logistics information of the goods transmitted by the RFID reader is received, which is read from the RFID tag by the RFID reader.

[0112] In some embodiments, after this step, the logistics information is sent to the AR device worn by the logistics personnel to assist the logistics personnel in sorting or storing the goods.

[0113] In this embodiment, sending the logistics information to the AR device worn by the logistics personnel can provide real-time and intuitive information of the goods to the logistics personnel, thereby efficiently assisting them in sorting or storing the goods.

[0114] First, the control processing unit generates digital content containing detailed information of the goods, such as the name, model, destination, and storage location of the goods, according to the data read by the RFID reader from the RFID tag of the goods. Then, the control processing unit transmits these logistics information to the AR device worn by the logistics personnel through wireless communication technology such as Wi-Fi or Bluetooth. After receiving the information, the AR device fuses it with the real-world scene to present it in the field of view of the logistics personnel in an augmented reality way.

[0115] For example, when sorting goods, the AR device can highlight the target goods in the line of sight of the logistics personnel and provide sorting instructions, such as placing the goods on designated shelf areas or transport vehicles; when storing goods, the device can guide the logistics personnel to find the correct storage location and display storage precautions.

[0116] This intuitive information presentation allows logistics personnel to quickly and accurately identify and handle goods, improving sorting and storage efficiency, reducing human error, and reducing the workload of logistics personnel, improving overall logistics performance.

[0117] Step 309, store the logistics information into the logistics information database.

[0118] This step can refer to the description of the aforementioned embodiments, which will not be repeated here.

[0119] Step 310, obtain the current positioning information of the goods and the logistics information update time.

[0120] Specifically, first, through integrated positioning technologies such as GPS, RFID positioning or indoor positioning systems, real-time accurate position information of the goods is obtained. These positioning technologies can provide specific coordinates or areas of the goods in the warehouse, transport vehicles or distribution sites.

[0121] At the same time, the control processing unit records the latest update time of the logistics information, which marks the time when the status of the goods last changed, such as the time of entering the warehouse, the time of leaving the warehouse, the time of changing the transport status, etc.

[0122] After obtaining these information, the control processing unit stores them in the database and associates them with the unique identifier of the goods for subsequent query and processing. The acquisition of positioning information and logistics information update time provides basic data support for accurately grasping the real-time status and dynamic changes of the goods.

[0123] Step 311, generate logistics update information according to the logistics information, positioning information and logistics information update time.

[0124] The control processing unit comprehensively analyzes and processes the obtained logistics information, positioning information and logistics information update time to generate comprehensive logistics update information. The logistics information includes the name, model, quantity, destination and other key attributes of the goods; the positioning information provides the current position coordinates or area of the goods; and the logistics information update time indicates the timeliness of these information.

[0125] The control processing unit will integrate these information in a certain format to generate a logistics update information containing the latest status and location of the goods. For example, the update information may show "Goods A, Model X, Quantity 100, has been out of warehouse 1, currently located on transport vehicle 2, destination is distribution center 3, last update time is 2024-06-15 10:30". This logistics update information can clearly reflect the real-time dynamics of goods in the logistics process, providing accurate data basis for subsequent logistics information management and decision-making.

[0126] In some embodiments, this step can specifically include: obtaining environmental information of the current location of the goods; generating logistics update information according to the logistics information, positioning information, logistics information update time and environmental information.

[0127] Specifically, the environmental information of the current location of the goods is obtained by deploying various sensors at the storage or transportation location of the goods. These sensors can include temperature sensors, humidity sensors, light sensors, vibration sensors, etc., for monitoring the physical conditions of the environment where the goods are located. For example, in the warehouse, the temperature sensor can detect whether the temperature of the goods storage area is within the appropriate range to ensure that the goods will not be damaged due to excessive or low temperature; the humidity sensor can monitor the humidity level of the warehouse to prevent the goods from being damp. During transportation, the vibration sensor can detect the vibration condition of the goods during transportation to evaluate the stability of the transportation environment. Then, these sensors will transmit the collected environmental data to the control processing unit in real time.

[0128] The control processing unit integrates and analyzes the received data to fully grasp the environmental conditions of the current location of the goods, providing important basis for subsequent logistics decision and goods protection.

[0129] When generating the logistics update information, the control processing unit will comprehensively consider the four key elements of logistics information, positioning information, logistics information update time and environmental information. First, the logistics information provides the basic attributes and status of the goods, such as the name, model, quantity, destination, etc. of the goods; the positioning information determines the current specific location of the goods, such as the shelf number of the warehouse, the number of the transport vehicle or the address of the distribution site; the logistics information update time indicates the time when the status of the goods was last changed, ensuring the timeliness of the information; the environmental information reflects the physical conditions of the environment where the goods are located, such as temperature, humidity, light and vibration, etc.

[0130] The control processing unit integrates these information according to certain logical relationship and format, and generates a comprehensive and accurate logistics update information. For example, the update information may show "Cargo A, Model X, Quantity 100, currently located in Warehouse 1, Rack 3, Destination: Distribution Center 2, Last Update Time: 2024-06-15 10:30, Storage Environment: Temperature 25℃, Humidity 40%, Light Intensity 300lx, No significant vibration". This logistics update information not only contains the basic logistics information and location information of the goods, but also covers the environmental information, so that the logistics manager can fully understand the real-time state and environment of the goods, and make more scientific and reasonable logistics decisions to ensure the safety and quality of the goods.

[0131] Step 312, sending the logistics update information to the RFID reader to make the RFID reader write the logistics update information into the RFID tag.

[0132] Specifically, the control processing unit sends the generated logistics update information to the RFID reader through the communication interface with the RFID reader. After receiving the information, the RFID reader will convert it into a format suitable for writing into the RFID tag, and transmit the update information to the RFID tag on the goods through wireless radio frequency signals. The memory inside the RFID tag will update its stored data content according to the received information, so that the logistics information recorded on the tag is consistent with the latest information in the system.

[0133] This process realizes the real-time update of logistics information on the RFID tag, ensuring that the goods can be accurately tracked and identified during the logistics process. When the RFID reader reads the RFID tag again in the subsequent logistics link, it can obtain the latest logistics information, thereby supporting the continuity, accuracy and efficiency of logistics information management.

[0134] The embodiment of the present application introduces a spectrum sensing unit to perform real-time scanning and detection on the surrounding electromagnetic environment, obtaining detailed electromagnetic signal spectrum data. This initiative enables the system to comprehensively understand the electromagnetic signal distribution in the current environment, providing accurate data basis for subsequent interference identification and frequency optimization. Then, the control processing unit analyzes the spectrum data in depth, using signal processing algorithms to identify the interference signal source and its occupied frequency range. This step is crucial, as it enables the system to accurately locate the interference source, thereby taking targeted measures to avoid it. Then, based on the frequency range of the interference signal source and the spectrum data, the control processing unit calculates the candidate working frequency range of the RFID reader and selects the optimal target working frequency from it. This process fully considers performance indicators such as signal strength, signal interference level, and data transmission rate, ensuring that the RFID logistics information management system can work at the best frequency, improving communication quality and data transmission stability. In addition, this embodiment also realizes the synchronous adjustment of the label working frequency through the handshake communication mechanism between the RFID reader and the RFID tag, further enhancing the anti-interference ability of the system. Finally, the read logistics information is stored in the database, providing real-time and accurate data support for logistics management.

[0135] Through these comprehensive measures, the embodiment not only improves the robustness and adaptability of the RFID logistics information management system in complex electromagnetic environments, but also optimizes the efficiency and accuracy of logistics information management, promoting the intelligent development of the logistics industry.

[0136] The method provided by the above embodiment can be executed by a control processing unit, which is a kind of electronic device. The electronic device in the embodiment of the present application is described from the perspective of hardware processing. Please refer to Figure 4 , which is a schematic diagram of an entity device structure of the electronic device in the embodiment of the present application.

[0137] It should be noted that Figure 4 The structure of the electronic device shown is only an example and should not limit the function and use range of the embodiment of the present application.

[0138] As Figure 4As shown, the electronic device includes a central processing unit (CPU) 401 which can perform various appropriate actions and processes in accordance with a program stored in a read-only memory (ROM) 402 or a program loaded from a storage section 408 into a random access memory (RAM) 403, for example, to execute the methods described in the above embodiments. In the RAM 403, various programs and data required for system operation are also stored. The CPU 401, the ROM 402, and the RAM 403 are connected to each other through a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0139] Connected to the I / O interface 405 are an input section 406 including an audio input device, a push button switch, and the like; an output section 407 including a liquid crystal display (LCD), an audio output device, an indicator, and the like; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, and the like. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as necessary. A removable media 411 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, and the like is attached to the drive 410 as necessary, so that a computer program read therefrom is installed into the storage section 408 as necessary.

[0140] In particular, in accordance with embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as a computer software program. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer readable medium, the computer program containing a computer program for executing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 409 and / or installed from the removable media 411. When the computer program is executed by the central processing unit (CPU) 401, various functions defined in the present application are performed.

[0141] Note that specific examples of computer-readable storage media can include but are not limited to an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, computer-readable storage media can be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

[0142] The flow diagrams and the block diagrams in the drawings are illustrations of architectures, functional processes, and operational processes, according to various embodiments of the present disclosure. Each block in the flow diagrams and the block diagrams can represent a module, a procedure, or a part of code that comprises one or more executable instructions for implementing the specific logical functions specified for the block. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur out of the order noted in the figures.

[0143] Specifically, the electronic device of the embodiment includes a processor and a memory, the memory is coupled with the one or more processors, and the memory is configured to store computer program code including computer instructions, and the one or more processors invoke the computer instructions to cause the electronic device to perform the method provided by the above-described embodiment.

[0144] As another aspect, the present disclosure also provides a computer-readable storage medium, which can be included in the electronic device described in the above-described embodiments, or can exist separately without being assembled into the electronic device. The storage medium carries one or more computer programs, and when the one or more computer programs are executed by a processor of the electronic device, the electronic device implements the method provided in the above-described embodiments.

[0145] The above-described embodiments are only used to illustrate the technical solutions of the present disclosure, rather than limiting them; although the present disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present disclosure.

[0146] As used in the above-described embodiments, the term "when" can be interpreted to mean "if" or "upon" or "in response to a determination" or "in response to a detection" depending on the context. Similarly, the phrase "determining whether" or "if [a stated condition or event] is detected" can be interpreted to mean "if a determination is made that" or "in response to a determination that" or "upon determining that" or "in response to detecting [a stated condition or event]" depending on the context.

[0147] Those skilled in the art can understand that all or part of the processes in the above-described embodiments can be implemented by a computer program instructing the relevant hardware to complete, and the program can be stored in a computer readable storage medium. When the program is executed, the processes of the above-described embodiments can be included. The aforementioned storage medium includes ROM, random access memory (RAM), magnetic disk or optical disk, and various storage media that can store program codes.

Claims

1. A logistics information management method based on RFID, characterized in that, include: Acquire electromagnetic signal spectrum data of the surrounding environment of the goods; Determining the frequency range of interference signals present in the surrounding environment based on the electromagnetic signal spectrum data includes: extracting key feature data from the electromagnetic signal spectrum data; inputting the key feature data into a preset interference signal identification model to obtain the frequency range of interference signals; the training process of the interference signal identification model includes collecting a large amount of electromagnetic signal spectrum data as training samples, the electromagnetic signal spectrum data including interference signal sources and normal RFID communication signals; By learning and training the training dataset through algorithms, the model will automatically adjust its internal parameters and optimize the decision boundary based on the relationship between features and labels, so as to accurately classify interference signals and accurately identify the frequency range of interference signals in complex electromagnetic environments. Based on the frequency range of the interference signal and the electromagnetic signal spectrum data, the candidate operating frequency range of the RFID reader is determined; Based on the performance indicators of each candidate operating frequency within the candidate operating frequency range, a target operating frequency is determined. These performance indicators include signal strength, signal interference level, and data transmission rate. This step includes: determining a performance score for each candidate operating frequency based on the performance indicators, specifically calculating the performance score using a performance scoring formula, which includes: Wherein, P represents the performance score, S represents the signal strength, S0 represents the preset baseline signal strength, I represents the signal interference level, R represents the data transmission rate, and α, β, and γ are adjustment factors. The candidate operating frequency with the highest performance score is determined as the target operating frequency; After the operating frequency of the RFID reader is adjusted to the target operating frequency, the RFID reader and the RFID tag of the goods establish a handshake communication to adjust the operating frequency of the RFID tag to the target operating frequency. After the RFID reader and the RFID tag establish a communication connection through the target operating frequency, the logistics information of the goods transmitted by the RFID reader is received. The logistics information is read by the RFID reader from the RFID tag. The logistics information is stored in the logistics information database.

2. The method according to claim 1, characterized in that, After storing the logistics information in the logistics information database, the process includes: Obtain the current location information and logistics information update time of the goods. Based on the logistics information, the location information, and the logistics information update time, logistics update information is generated; The logistics update information is sent to the RFID reader so that the RFID reader can write the logistics update information into the RFID tag.

3. The method according to claim 2, characterized in that, The step of generating logistics update information based on the logistics information, the location information, and the logistics information update time includes: Obtain environmental information about the current location of the goods; The logistics update information is generated based on the logistics information, the location information, the logistics information update time, and the environmental information.

4. The method according to claim 1, characterized in that, After receiving the logistics information of the goods transmitted by the RFID reader, the method further includes: The logistics information is sent to the AR device worn by the logistics personnel to assist them in sorting or storing the goods.

5. An electronic device, characterized in that, Includes one or more processors and memory; The memory is coupled to the one or more processors, the memory being used to store computer program code, the computer program code including computer instructions, the one or more processors invoking the computer instructions to cause the electronic device to perform the method as described in any one of claims 1-4.

6. A computer-readable storage medium storing computer instructions, characterized in that, When the computer instructions are executed on the electronic device, the electronic device causes the electronic device to perform the method as described in any one of claims 1-4.

7. A computer program product, characterized in that, When the computer program product is run on an electronic device, it causes the electronic device to perform the method as described in any one of claims 1-4.

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