Logistics information management method and equipment based on RFID, medium and product

Abstract

The invention discloses a logistics information management method and device based on RFID, a medium and a product, and relates to the field of logistics information management. The method comprises the following steps: acquiring electromagnetic signal spectrum data of a surrounding environment of goods; determining an interference signal frequency range existing in the surrounding environment according to the electromagnetic signal spectrum data; determining a candidate working frequency range of the RFID reader-writer based on the interference signal frequency range and the electromagnetic signal frequency spectrum data; determining a target working frequency according to the performance index of each candidate working frequency in the candidate working frequency range; handshake communication is carried out through the RFID reader-writer and the RFID tag so as to synchronize the target working frequency; receiving logistics information transmitted by the RFID reader-writer after the RFID reader-writer is connected with the tag through the target working frequency; and storing the logistics information in a logistics information database. The problem that the accuracy and efficiency of logistics information management are reduced due to environmental electromagnetic interference can be relieved.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics information management, and in particular to a logistics information management method, equipment, medium and product based on RFID. Background Art

[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] RFID logistics information management system can increase cargo processing speed, 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 complexity and diversity of the logistics environment, there are various electromagnetic interference sources, such as Wi-Fi devices, Bluetooth devices, and industrial equipment, which will seriously affect the communication quality between RFID readers and tags, resulting in tag recognition errors, unstable data transmission and other problems, reducing the accuracy and efficiency of logistics information management. Summary of the invention

[0005] In view of the above-mentioned technical problems and defects, the purpose of the present invention is to provide a logistics information management method, equipment, 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-mentioned purpose, in a first aspect, the present invention 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 interference signals existing in the surrounding environment based on the electromagnetic signal spectrum data; determining the candidate operating frequency range of the RFID reader based on the interference signal frequency range and the electromagnetic signal spectrum data; determining the target operating frequency based on the performance indicators of each candidate operating frequency in the candidate operating frequency range, the performance indicators including signal strength, signal interference degree and data transmission rate; after the operating frequency of the RFID reader is adjusted to the target operating frequency, handshaking communication is performed between the RFID reader and the RFID tag of the goods so that the operating frequency of the RFID tag is adjusted to the target operating frequency; after the RFID reader and the RFID tag establish a communication connection through the target operating 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; and storing the logistics information in a logistics information database.

[0007] The present invention adopts the above method, firstly, by obtaining the electromagnetic signal spectrum data of the surrounding environment of the goods, and determining the frequency range of the interference signal accordingly, it provides a guarantee for the stable operation of the RFID system in a complex electromagnetic environment. It can effectively identify and avoid the source of interference signals, avoid the communication errors and data loss between the RFID reader and the RFID tag caused by electromagnetic interference, thereby improving the accuracy and reliability of logistics information collection. Secondly, by comprehensively considering the performance indicators such as signal strength, signal interference degree and data transmission rate, the target operating 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. In addition, through the handshake communication mechanism between the RFID reader and the RFID tag, the synchronous adjustment of the tag operating frequency is realized, further ensuring the stability of communication and the efficiency of 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 logistics information management, making the operations such as cargo tracking, inventory management, and transportation scheduling more intelligent and automated, and improving the accuracy and efficiency of logistics information management.

[0008] In combination with some embodiments of the first aspect, in some embodiments, the target operating frequency is determined based on the performance indicators of each candidate operating frequency in the candidate operating frequency range, including: determining a performance score for each candidate operating frequency based on the performance indicator; and determining the candidate operating frequency with the highest performance score as the target operating frequency.

[0009] The technical solution of this embodiment is adopted to determine the target operating frequency by introducing a performance scoring mechanism, which provides a scientific and quantitative frequency selection method for the RFID system. First, it converts complex performance indicators (signal strength, signal interference level and data transmission rate) into easily comparable performance scores, making the frequency selection process more intuitive and efficient. Secondly, it can comprehensively consider multiple performance indicators to ensure that the selected target operating frequency has the best comprehensive 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. The weight factors in the scoring formula can be adjusted 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 conjunction with some embodiments of the first aspect, in some embodiments, determining a performance score for each candidate operating frequency according to the performance indicator includes: calculating the performance score using a performance score formula, where the performance score formula includes: Among them, P represents the performance score, S represents the signal strength, S0 represents the preset benchmark signal strength, I represents the signal interference level, R represents the data transmission rate, and α, β, and γ are adjustment factors respectively.

[0011] The technical solution of this embodiment combines the three key performance indicators of signal strength, signal interference degree and data transmission rate, and obtains the performance score through mathematical operation, making the frequency selection process more scientific and reasonable. The α-th power of the absolute value difference of the signal strength emphasizes the relative size between the signal strength and the reference value, while the square root of the data transmission rate multiplied by β balances the contribution of the transmission rate to the performance score. The exponential function of the signal interference degree e γI In the denominator, the negative impact of interference on performance scores is effectively highlighted. The introduction of adjustment factors α, β, and γ provides the system with a flexible means of adjustment, and the weights of each indicator can be adjusted according to actual conditions 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 RFID systems, which helps to improve the overall performance and stability of the system.

[0012] In combination with some embodiments of the first aspect, in some embodiments, after the logistics information is stored in the logistics information database, it also includes: obtaining the current location information and logistics information update time of the goods, and generating logistics update information according to the logistics information, location information and logistics information update time; sending the logistics update information to the RFID reader / writer, so that the RFID reader / writer writes the logistics update information into the RFID tag.

[0013] The technical solution of this embodiment is adopted to introduce a mechanism for generating and writing logistics update information, thereby enhancing the real-time and accuracy of logistics information. By obtaining the positioning information of the goods and the update time of the logistics information, the system can timely capture the latest changes in the status of the goods and generate update information containing the latest logistics information. These update information are sent to the RFID reader and writer and written into the RFID tag, so that the logistics information of the goods is always kept up to date. This process not only improves the efficiency of cargo tracking and management, but also provides more reliable data support for subsequent logistics decisions. Logistics personnel can quickly understand the real-time status and location 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 operations, and also enhance the responsiveness and flexibility of the logistics system.

[0014] In combination with some embodiments of the first aspect, in some embodiments, logistics update information is generated based on logistics information, positioning information and logistics information update time, including: obtaining environmental information of the current location of the goods; generating logistics update information based on logistics information, positioning information, logistics information update time and environmental information.

[0015] By adopting the technical solution of this embodiment, more comprehensive and accurate data support is provided for logistics management by incorporating the environmental information of the current location of the goods into the generation process of logistics update information. Environmental information includes key parameters such as temperature, humidity, light, vibration, etc., which have an important impact on the storage and transportation quality of goods. By combining these environmental 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, managers can understand whether the goods have experienced extreme temperature or humidity conditions during transportation, so as to take corresponding protective measures in time to prevent damage to the goods. In addition, the introduction of environmental information also provides a basis for optimizing the storage and transportation conditions of goods, helps to improve the integrity rate of goods and the quality of logistics services, reduces logistics risks and costs, and enhances the reliability of the logistics system and customer satisfaction.

[0016] In combination with some embodiments of the first aspect, in some embodiments, after receiving the logistics information of the goods transmitted by the RFID reader, it also includes: sending the logistics information to the AR device worn by the logistics personnel to assist the logistics personnel in sorting or storing the goods.

[0017] The technical solution of this embodiment is adopted, and logistics information is sent to the AR device worn by logistics personnel, which brings revolutionary changes to logistics operations. The AR device can superimpose logistics information on the field of vision of logistics personnel in an augmented reality manner, so that logistics personnel can intuitively see detailed information of the goods, such as name, model, destination, etc. This intuitive way of presenting information improves the efficiency of logistics personnel in identifying and handling goods, and reduces the error rate of sorting and storage. When performing sorting or storage operations, logistics personnel can quickly find the target goods and accurately place the goods 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 logistics personnel, reduces labor intensity, and improves the overall efficiency and quality of logistics operations. At the same time, the application of AR equipment also provides logistics personnel with a safer and more convenient working environment, and enhances the intelligence and modernization level of the logistics system.

[0018] In combination with some embodiments of the first aspect, in some embodiments, the frequency range of interference signals existing in the surrounding environment is determined based on the electromagnetic signal spectrum data, including: 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 interference signal frequency range.

[0019] By adopting the technical solution of this embodiment, by extracting key feature data from the electromagnetic signal spectrum data and inputting it into the preset interference signal recognition model, accurate recognition of the frequency range of the interference signal is achieved. This process provides an important basis for the 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, power spectrum density, etc., can effectively characterize the characteristics of the interference signal and provide accurate input information for the recognition of the model. Secondly, the preset interference signal recognition model has a strong pattern recognition ability after a lot of training and optimization, and can accurately distinguish interference signals from normal signals, thereby determining the frequency range of the interference signal. This recognition process not only improves the RFID system's perception of interference signals, but also provides a scientific basis for subsequent frequency optimization and interference avoidance, so that the RFID system can adapt to different electromagnetic environments more flexibly, ensure the stability of communication and the reliability of data transmission, and enhance the application effect and competitiveness of the RFID system in logistics information management.

[0020] In a second aspect, an embodiment of the present invention provides 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 includes computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method described in the first aspect or the second aspect, and any possible implementation method of the first aspect or the second aspect.

[0021] In a third aspect, the present invention provides a computer-readable storage medium comprising instructions, which, when executed on the electronic device, causes the electronic device to execute the method described in the first aspect or the second aspect, and any possible implementation of the first aspect or the second aspect.

[0022] In a fourth aspect, the present invention provides a computer program product comprising instructions, which, when the computer program product is run on the electronic device, enables the electronic device to execute the method described in the first aspect or the second aspect, and any possible implementation of the first aspect or the second aspect.

[0023] It is understandable 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 invention. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be repeated here.

[0024] One or more technical solutions provided by the present invention have at least the following technical effects or advantages: 1. The present invention provides a scientific frequency selection basis for the RFID reader by acquiring electromagnetic signal spectrum data and identifying the frequency range of interference signals. By dynamically adjusting the operating 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 thus improves the accuracy and reliability of logistics information collection. Stable communication is the basis of logistics information management, and this effect provides a solid guarantee for the efficient operation of the entire logistics system.

[0025] 2. The present invention not only realizes the real-time collection of logistics information, but also realizes the dynamic update of logistics information by generating logistics update information and writing it into RFID tags. 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 status and location of the goods. This real-time update mechanism makes logistics management more flexible and efficient, and managers can grasp the dynamic changes of goods at any time and make adjustments and decisions in time. At the same time, the updated information is stored in the logistics information database, which provides rich data resources for subsequent data analysis and decision support, and enhances the responsiveness and management efficiency of the logistics system.

[0026] 3. The present invention realizes the visual assistance 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 vision of the logistics personnel in an augmented reality manner, so that the logistics personnel can intuitively obtain detailed information and operation instructions of the goods. This intelligent assistance method greatly improves the efficiency of logistics personnel in identifying and handling goods, reduces the error rate of sorting and storage, and reduces the workload of personnel. At the same time, the automated frequency adjustment and information update mechanism in the solution 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 companies. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] The drawings herein are incorporated into and constitute a part of the specification, showing embodiments consistent with the present invention, and together with the specification, are used to explain the principles of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 It is a schematic diagram of the architecture of an RFID logistics information management system according to an embodiment of the present invention; Figure 2 It is a flow chart of a logistics information management method based on RFID according to an embodiment of the present invention; Figure 3 is a flow chart of another RFID-based logistics information management method according to an embodiment of the present invention; Figure 4 It is a schematic diagram of the architecture of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] The terms used in the following embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to be limiting of the present invention. As used in the specification of the present invention, the singular expressions "a", "a", "above", "the" and "this" are intended to also include plural expressions, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present invention refers to any or all possible combinations comprising one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood as implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present invention, unless otherwise specified, the meaning of "plurality" is two or more.

[0030] It should also be noted that, unless otherwise clearly specified and limited, in the embodiments of the present invention, the terms such as "setting" and "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two components; it can be a wired communication connection or a wireless communication connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances. The embodiments of the present invention are described in detail below.

[0031] The embodiment of the present invention provides a logistics information management method based on RFID, which is applied to the RFID logistics information management system. Figure 1 As shown, the RFID logistics information management system includes an RFID reader / writer 101 , an RFID tag 102 , a spectrum sensing unit 103 and a control processing unit 104 .

[0032] The control processing unit 104 is connected to the RFID reader 101 and the spectrum sensing unit 103. The RFID tag 102 is set on the goods in the logistics. The spectrum sensing unit 103 can use some electromagnetic signal detection instruments to scan and detect the spectrum characteristics of the surrounding electromagnetic environment and convert the received electromagnetic signal into spectrum data.

[0033] The RFID-based logistics information management method of this embodiment provides an effective response strategy for the problem that the logistics environment is complex and electromagnetic interference affects the quality of RFID communication. First, the electromagnetic signal spectrum data of the surrounding environment of the goods is obtained through the spectrum sensing unit 103, and the interference signal source in the environment and the frequency range it occupies can be identified. This step uses signal processing technology to provide a scientific basis for subsequent frequency selection. Then, the control processing unit 104 can determine the candidate operating frequency range of the RFID reader 101 based on the frequency range of the interference signal source and the electromagnetic signal spectrum data, thereby avoiding frequency conflicts with the interference signal source. Further, by evaluating the performance indicators of each candidate operating frequency, including signal strength, signal interference degree and data transmission rate, the optimal target operating frequency can be accurately determined. After adjusting the operating frequencies of the RFID reader 101 and the RFID tag 102 to the target frequency, the logistics information is read from the RFID tag 102 by the RFID reader 101 and stored in the logistics information database, ensuring the stability of RFID communication and the accuracy of data transmission, thereby improving the accuracy and efficiency of logistics information management.

[0034] Combine the following Figure 2 The RFID-based logistics information management method of this embodiment is specifically described, and includes the following steps: Step 201, obtaining electromagnetic signal spectrum data of the surrounding environment of the goods.

[0035] Among them, spectrum data is data that describes the characteristics of electromagnetic signals in the frequency domain. It shows the strength or power distribution of the signal at different frequencies. Through spectrum data, the frequency composition, bandwidth range and relative strength of each frequency component of the signal can be intuitively observed. In spectrum data, the horizontal axis represents frequency and the vertical axis represents signal strength or power. It can reveal the frequency characteristics of the signal, help identify the signal source, analyze signal quality, and detect interference.

[0036] In this embodiment, the control processing unit first sends a scanning instruction to the spectrum sensing unit, and starts 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 electromagnetic signals within a specific frequency range in real time. The spectrum sensing unit performs down-conversion, analog-to-digital conversion and other processing on the received electromagnetic signals to convert them into digital spectrum data. Subsequently, the spectrum sensing unit transmits these spectrum data to the control processing unit through a communication interface (such as a serial port, Ethernet, etc.) connected to the control processing unit.

[0037] After receiving the spectrum data, the control processing unit uses the signal processing algorithm to parse and analyze it, and extracts the spectrum characteristics of the electromagnetic signal in the environment around the goods, including the signal's frequency, intensity, bandwidth and other information.

[0038] Through this process, the control and processing unit successfully obtained the electromagnetic signal spectrum data of the surrounding environment of the goods, laying the foundation for the subsequent determination of the interference signal frequency range and optimization of the RFID reader operating frequency.

[0039] Step 202: Determine the frequency range of interference signals existing in the surrounding environment according to the electromagnetic signal spectrum data.

[0040] Specifically, the control processing unit first pre-processes the received spectrum data, including filtering, denoising and normalization, to improve data quality. Then, a spectrum analysis algorithm, such as Fast Fourier Transform (FFT), is used to convert the time domain signal into a frequency domain signal to generate a detailed spectrum graph. In the spectrum graph, the control processing unit identifies the peak areas where the signal strength is significantly higher than the background noise, which usually represent the frequency positions of the interference signals.

[0041] By analyzing the frequency range and duration of these peaks, combined with the known RFID operating 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 spectrum density of the interference signal to further verify and refine the determination of the interference frequency range, thereby providing an accurate basis for optimizing the operating frequency of the RFID reader.

[0042] Step 203: Determine a candidate operating frequency range of the RFID reader based on the interference signal frequency range and the electromagnetic signal spectrum data.

[0043] Specifically, the control processing unit first removes the frequency interval occupied by the interference signal source from the spectrum data, that is, excludes the frequency range of the interference signal. After the control processing unit identifies the frequency range of the interference signal by analyzing the spectrum diagram, it excludes it from the frequency range in which the RFID logistics information management system can work 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 the 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, will also be considered to ensure that the candidate frequency can meet the communication requirements of the system. In addition, the control processing unit may perform simulation tests on the candidate frequencies to simulate the communication between the RFID reader and the tag at these frequencies to further verify its feasibility. Finally, based on the above factors, the control processing unit determines multiple candidate operating frequency ranges, and the frequencies within these ranges not only avoid the interference signal source, but also ensure the efficient and stable operation of the RFID logistics information management system.

[0044] Step 204: determine the target operating frequency according to the performance index of each candidate operating frequency in the candidate operating frequency range.

[0045] Among them, performance indicators include signal strength, signal interference level and data transmission rate. Signal strength refers to the amplitude of the electric 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. The signal interference level describes the negative impact of other electromagnetic signals on the target signal transmission at the candidate operating frequency, including noise, clutter, etc., which affects the clarity and reliability of the signal. The data transmission rate, also known as the 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.

[0046] Specifically, the control processing unit will conduct a comprehensive evaluation of each frequency within the candidate operating frequency range and select the desired target operating frequency based on key performance indicators. First, the control processing unit will detect the signal strength at each candidate frequency and select a frequency with a high and stable signal strength to ensure that the tag information can be accurately read. Secondly, the control processing unit analyzes 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 a frequency that can support high-speed data transmission to speed up the collection and processing of logistics information.

[0047] After comprehensively considering these performance indicators, the control processing unit will use optimization algorithms, such as weighted scoring or multi-objective optimization, to score and sort each candidate frequency, and finally determine the target operating frequency whose comprehensive performance meets the expected requirements. This process fully considers the actual application requirements of the RFID logistics information management system and the complexity of the electromagnetic environment, ensuring that the RFID reader can work at the optimal frequency, thereby improving the accuracy and efficiency of logistics information management.

[0048] Step 205: After the operating frequency of the RFID reader is adjusted to the target operating frequency, a handshake communication is performed between the RFID reader and the RFID tag of the goods to adjust the operating frequency of the RFID tag to the target operating frequency.

[0049] Specifically, the control processing unit will start the handshake communication process between the RFID reader and the RFID tag on the goods to ensure that the working frequency of the tag is synchronized with the reader to adjust to the target working frequency. Handshake communication is a protocol mechanism for establishing and confirming the communication connection between the two parties.

[0050] First, the RFID reader sends a handshake signal that contains information about the target operating frequency. After receiving this signal, the RFID tag adjusts its own oscillator frequency according to the instructions in the signal to match itself with the target operating frequency. During this process, the RFID tag's radio frequency circuit will be adjusted accordingly to ensure that it can work properly at the new frequency. At the same time, the RFID tag will send a response signal to the reader, indicating that its frequency adjustment has been completed and it is ready for data communication. After receiving the tag's response signal, the RFID reader confirms the success of the handshake communication and begins normal data exchange with the tag.

[0051] Through this handshake communication mechanism, the RFID logistics information management system can ensure that the RFID reader and 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 a complex electromagnetic environment. It enables the RFID logistics information management system to flexibly adapt to different frequency requirements, reduce interference, and improve overall performance.

[0052] Step 206, after the RFID reader and the RFID tag establish a communication connection through the target working frequency, receive the logistics information of the goods transmitted by the RFID reader, the logistics information is obtained by the RFID reader reading from the RFID tag.

[0053] Specifically, the RFID reader starts the data reading process to obtain the logistics information of the goods. This process begins when the reader sends a query signal to the RFID tag, which contains specific instructions and requires the tag to provide information stored in its memory.

[0054] After receiving the query signal, the RFID tag will activate its internal circuit and retrieve data related to the goods from the memory, such as the unique identifier of the goods, product type, production date, batch number, destination, storage conditions, delivery route, delivery time and other key information. These data will serve as the logistics information of the goods.

[0055] The RFID tag then encodes this data into electromagnetic signals and sends them back to the RFID reader in the form of radio waves via the antenna. After the RFID reader's antenna receives these signals, it converts them into digital signals and transmits them to the control processing unit for decoding and processing.

[0056] The control processing unit analyzes the received logistics information and verifies the integrity and accuracy of the data. Through this process, the RFID logistics information management system can obtain detailed logistics information of goods in real time and accurately, and provide key data support for each link of logistics management, thereby realizing the full tracking and monitoring of goods, optimizing inventory management, improving logistics efficiency, and ensuring timely delivery and safe arrival of goods.

[0057] Step 207, store the logistics information in the logistics information database.

[0058] This process ensures the persistence and traceability of data, providing a solid foundation for subsequent logistics decision-making and analysis. First, after the control processing unit receives the cargo logistics information transmitted by the RFID reader, it will format it and convert it into a data format recognizable by the database, such as JSON, XML or a table structure in a relational database. Then, the control processing unit will establish a connection with the logistics information database according to the preset 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. The information of each cargo will be stored as a record, containing multiple fields, such as cargo ID, product type, production date, batch number, destination, storage conditions, etc. The logistics information database will assign a unique identifier to each record to facilitate subsequent query and update operations. In addition, the logistics information database also has data integrity constraints and index optimization functions to ensure data accuracy and query efficiency.

[0059] The stored logistics information can be easily accessed and analyzed. Managers can use this data to perform operations such as inventory management, order processing, transportation scheduling, and cost accounting, thus realizing 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.

[0060] This embodiment uses the above-mentioned method steps, combined with electromagnetic signal spectrum analysis and RFID technology, to achieve accurate identification and avoidance of interference signals in the logistics environment, thereby significantly improving the communication quality and data transmission stability of the RFID logistics information management system in a complex electromagnetic environment, and ensuring the accuracy and efficiency of logistics information management.

[0061] First, this 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 all aspects 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, this embodiment also improves the real-time and transparency of logistics information, making the tracking and monitoring of goods more accurate, which helps to achieve refined inventory management, reduce inventory costs, and improve logistics efficiency. At the same time, accurate logistics information also provides strong support for the decision-making of enterprises, helps to optimize supply chain management, and enhances the market competitiveness of enterprises.

[0062] Combine the following Figure 3 To further explain the logistics information management method based on RFID of this embodiment, it specifically includes the following steps: Step 301, obtaining electromagnetic signal spectrum data of the surrounding environment of the goods.

[0063] This step can refer to the description of the aforementioned embodiment and will not be described again here.

[0064] Step 302: extract key feature data from the electromagnetic signal spectrum data.

[0065] Specifically, the control processing unit first preprocesses the received electromagnetic signal spectrum data to improve the quality and analyzability of the data. The preprocessing 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 magnitudes into a standard range for subsequent analysis.

[0066] Next, the control processing unit uses a feature extraction algorithm to extract key feature data from the processed spectrum data. These feature data include the peak frequency of the signal, that is, the frequency point with the highest signal strength in the spectrum graph, which is usually closely related to the frequency characteristics of the signal source; bandwidth, that is, the frequency range occupied by the signal, which reflects the frequency distribution of the signal; power spectrum density, which represents the signal power per unit frequency, which can reflect the intensity distribution characteristics of the signal; and modulation characteristics, such as the modulation type and parameters of the signal, which help to distinguish different types of signal sources.

[0067] 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.

[0068] Step 303: input the key feature data into a preset interference signal recognition model to obtain the interference signal frequency range.

[0069] The control processing unit inputs the key feature data extracted from the spectrum data into the preset interference signal recognition model. The interference signal recognition model is trained based on a large amount of historical data and can identify the frequency range of the interference signal based on the input feature data. The interference signal recognition model usually uses machine learning or deep learning algorithms, such as support vector machine (SVM), random forest, neural network, etc. These algorithms have powerful pattern recognition and classification capabilities.

[0070] The interference signal identification model will comprehensively consider the input feature data, such as peak frequency, bandwidth, power spectrum density and modulation characteristics, and determine which frequency ranges of signals belong to interference signals through internal calculation and analysis. The output of the model is the frequency range of the interference signal, which provides an important reference for the RFID logistics information management system, allowing the system to 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.

[0071] Through this step, the control processing unit can accurately identify the source of the interference signal, providing a scientific basis for subsequent frequency optimization and interference avoidance.

[0072] In this embodiment, the training process of the interference signal recognition model is as follows: First, a large amount of electromagnetic signal spectrum data needs to be collected as training samples. These data should cover a variety of typical interference signal sources, such as Wi-Fi, Bluetooth, industrial equipment, etc., as well as normal RFID communication signals.

[0073] Next, these raw data are preprocessed, including filtering, denoising, and normalization, to improve data quality. Then, key features are extracted from the processed data, such as peak frequency, bandwidth, power spectrum density, modulation characteristics, etc. These features can effectively characterize the characteristics of the signal.

[0074] Then, the extracted features and corresponding labels (interference signals or normal signals) are combined into a training data set. Select appropriate machine learning or deep learning algorithms, such as support vector machines (SVM), random forests, neural networks, etc., to build an interference signal recognition model.

[0075] By learning and training the training data set through the algorithm, the model will automatically adjust the internal parameters and optimize the decision boundary according to the relationship between features and labels to achieve accurate classification of interference signals.

[0076] During the training process, the data set is usually divided into a training set and a 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, etc., to prevent the model from overfitting.

[0077] After multiple iterations of training and parameter tuning, we finally obtained an interference signal recognition model with excellent performance and strong generalization ability. It can accurately identify the frequency range of interference signals in complex electromagnetic environments, and provide strong support for frequency optimization and communication quality improvement of RFID logistics information management systems.

[0078] Step 304: Determine a candidate operating frequency range of the RFID reader based on the interference signal frequency range and the electromagnetic signal spectrum data.

[0079] This step can refer to the description of the aforementioned embodiment and will not be described again here.

[0080] Step 305: Determine the performance score of each candidate operating frequency according to the performance indicator.

[0081] First, the control processing unit collects performance indicator data related to each candidate frequency, including key parameters such as signal strength, signal interference level, and data transmission rate. Signal strength reflects the clarity of communication between the RFID reader and the 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 improve the reliability of data transmission; data transmission rate indicates the speed of information transmission that can be achieved at this frequency. Higher rate can speed up the collection and processing of logistics information.

[0082] Next, the control processing unit will perform weighted calculations on these performance indicators according to the preset scoring rules or algorithms, comprehensively consider the importance of each indicator, and obtain the performance score of each candidate operating frequency. 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 obtain the total score.

[0083] This process provides a quantitative basis for the subsequent selection of the optimal operating frequency, ensuring the scientificity and rationality of the frequency selection.

[0084] In some embodiments, this step may calculate the performance score by a performance score formula, and the performance score formula includes: Where P represents the performance score and e is a natural constant.

[0085] S stands for signal strength, and the signal emitted by the RFID tag can be measured through the receiving module of the RFID reader. The antenna of the RFID reader captures the radio wave signals from the RFID tag and then converts these signals into electrical signals. The signal processing circuit inside the RFID reader amplifies, filters, and demodulates the electrical signals to extract the signal strength information. 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 this 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 during the transmission process.

[0086] 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 a standard value can be determined through experiments.

[0087] I represents the degree of signal interference, which can be determined by spectrum analysis and signal detection. The spectrum sensing unit monitors the electromagnetic environment within the operating frequency range of the RFID logistics information management system in real time and captures 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 degree I, which reflects the degree of influence of the interference signal on RFID communication.

[0088] 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 by the ISO / IEC18000-6C standard. The control processing unit can calculate the theoretical data transmission rate based on the parameter settings of the communication protocol, such as carrier frequency, modulation mode, coding scheme, etc. In addition, the data transmission rate can also be measured through actual communication tests, that is, the amount of data successfully read or written from the tag by the reader within a certain period of time is divided by the time to obtain the actual data transmission rate value R.

[0089] α, β, and γ are adjustment factors, respectively, which can be determined through experiments or historical data analysis to balance the impact of signal strength, signal interference level, and data transmission rate on the performance score.

[0090] In this embodiment, the performance scoring formula fully considers the communication quality of the RFID logistics information management system in a complex electromagnetic environment, and provides a quantitative performance score for each candidate operating frequency by comprehensively evaluating the three key performance indicators of signal strength, signal interference level and data transmission rate.

[0091] In the formula, the α power of the absolute value of the difference between the signal strength S and the reference signal strength S0 reflects the relative size and importance of the signal strength relative to the reference value, where α is used as an adjustment factor to adjust the impact of the signal strength on the performance score.

[0092] The square root of the data transmission rate R multiplied by β takes into account the contribution of the data transmission rate to the performance score, where β is used as an adjustment factor to balance the weights of the data transmission rate and signal strength in the performance score.

[0093] Exponential function of signal interference level I e γI In the denominator, it represents the nonlinear negative impact of the signal interference degree on the performance score, where γ is used as an adjustment factor to adjust the impact of the signal interference degree on the performance score. The design of the entire formula enables the performance score to fully reflect the communication quality of the candidate operating frequency, providing a scientific quantitative basis for selecting the optimal target operating frequency.

[0094] Step 306: determine the candidate operating frequency with the highest performance score as the target operating frequency.

[0095] Among them, the operating 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 operating frequency, the control processing unit will send instructions to the RFID reader to adjust its operating frequency to the target frequency, and simultaneously guide 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.

[0096] This process not only improves the anti-interference ability of the RFID logistics information management system in complex electromagnetic environments, but also optimizes the overall performance of the system, provides strong guarantees for the accurate collection and efficient management of logistics information, and significantly improves the efficiency and reliability of logistics information management.

[0097] Step 307: Handshake communication is performed with the RFID tag of the goods through the RFID reader / writer, so that the operating frequency of the RFID tag is adjusted to the target operating frequency.

[0098] This step can refer to the description of the aforementioned embodiment and will not be described again here.

[0099] Step 308, after the RFID reader and the RFID tag establish a communication connection through the target working frequency, receive the logistics information of the goods transmitted by the RFID reader, and the logistics information is obtained by the RFID reader reading from the RFID tag.

[0100] In some embodiments, after this step, the logistics information is sent to an AR device worn by the logistics personnel to assist the logistics personnel in sorting or storing the goods.

[0101] In this embodiment, the logistics information is sent to the AR device worn by the logistics personnel, which can provide the logistics personnel with real-time and intuitive cargo information, thereby efficiently assisting them in sorting or storing the cargo.

[0102] First, the control processing unit generates digital content containing detailed information about the goods, such as the name, model, destination, and storage location of the goods, based on the data read by the RFID reader from the RFID tag of the goods. Then, the control processing unit transmits this logistics information to the AR device worn by the logistics personnel through wireless communication technologies such as Wi-Fi or Bluetooth. After receiving the information, the AR device will merge it with the scene in the real world and present it in the field of vision of the logistics personnel in the form of augmented reality.

[0103] For example, when sorting goods, AR devices can highlight the target goods in the logistics personnel's line of sight and provide sorting instructions, such as placing the goods in designated shelf areas or on transport vehicles; when storing goods, the device can guide logistics personnel to find the correct storage location and display storage precautions.

[0104] This intuitive way of presenting information enables logistics personnel to quickly and accurately identify and process goods, improves the efficiency of sorting and storage, reduces human errors, and also reduces the workload of logistics personnel, improving overall logistics operation performance.

[0105] Step 309, store the logistics information in the logistics information database.

[0106] This step can refer to the description of the aforementioned embodiment and will not be described again here.

[0107] Step 310, obtaining the current location information and logistics information update time of the goods.

[0108] Specifically, firstly, the current accurate location information of the goods is obtained in real time through integrated positioning technologies such as GPS, RFID positioning or indoor positioning systems. These positioning technologies can provide the specific coordinates or areas of the goods in the warehouse, transport vehicle or distribution station.

[0109] At the same time, the control processing unit will record the latest update time of the logistics information. This timestamp marks the moment when the status of the goods was last changed, such as the time when the goods entered the warehouse, when they left the warehouse, when the transportation status changed, etc.

[0110] After obtaining this information, the control processing unit stores it in the database and associates it 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 goods.

[0111] Step 311, generating logistics update information according to the logistics information, positioning information and logistics information update time.

[0112] The control processing unit will comprehensively analyze and process the acquired logistics information, positioning information and logistics information update time to generate comprehensive logistics update information. Logistics information includes key attributes such as the name, model, quantity, and destination of the goods; positioning information provides the current location coordinates or area of ​​the goods; and logistics information update time indicates the timeliness of this information.

[0113] The control processing unit will integrate this information in a certain format and generate a logistics update message containing the latest status and location of the goods. For example, the update message may show "Goods A, model X, quantity 100, has been shipped from warehouse 1, is currently on transport vehicle 2, is destined for distribution center 3, and was last updated at 2024-06-15 10:30". This logistics update message can clearly reflect the real-time dynamics of the goods in the logistics process, and provide accurate data basis for subsequent logistics information management and decision-making.

[0114] In some embodiments, this step may specifically include: obtaining environmental information of the current location of the goods; generating logistics update information based on logistics information, positioning information, logistics information update time and environmental information.

[0115] Specifically, obtaining environmental information of the current location of the goods is achieved by deploying various sensors at the location where the goods are stored or transported. These sensors may include temperature sensors, humidity sensors, light sensors, vibration sensors, etc., which are used to monitor the physical conditions of the environment in which the goods are located. For example, in a warehouse, a temperature sensor can detect whether the temperature of the goods storage area is within an appropriate range to ensure that the goods are not damaged due to excessively high or low temperatures; a humidity sensor can monitor the humidity level in the warehouse to prevent the goods from getting damp. During transportation, a vibration sensor can detect the vibration of the goods during transportation and evaluate the stability of the transportation environment. Afterwards, these sensors transmit the collected environmental data to the control processing unit in real time.

[0116] The control processing unit integrates and analyzes the received data to fully understand the environmental conditions of the current location of the goods, providing an important basis for subsequent logistics decisions and cargo protection.

[0117] When generating logistics update information, the control processing unit will comprehensively consider four key elements: logistics information, positioning information, logistics information update time and environmental information. First, logistics information provides the basic attributes and status of the goods, such as the name, model, quantity, destination, etc. of the goods; 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 station; logistics information update time indicates the time when the status of the goods was last changed, ensuring the timeliness of the information; environmental information reflects the physical conditions of the environment in which the goods are located, such as temperature, humidity, light and vibration.

[0118] The control processing unit integrates this information according to a certain logical relationship and format to generate a comprehensive and accurate logistics update information. For example, the update information may show "Goods A, model X, quantity 100, currently located at shelf 3 of warehouse 1, destination is distribution center 2, last updated at 2024-06-15 10:30, storage environment: temperature 25℃, humidity 40%, light intensity 300lx, no obvious vibration". This logistics update information not only contains the basic logistics information and location information of the goods, but also covers environmental information, so that logistics managers can fully understand the real-time status and environment of the goods, so as to make more scientific and reasonable logistics decisions and ensure the safety and quality of the goods.

[0119] Step 312: Send the logistics update information to the RFID reader / writer so that the RFID reader / writer writes the logistics update information into the RFID tag.

[0120] 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 converts it into a format suitable for writing to the RFID tag and transmits the update information to the RFID tag on the goods through a wireless radio frequency signal. The memory inside the RFID tag will update the data content stored in it according to the received information, so that the logistics information recorded on the tag is consistent with the latest information in the system.

[0121] This process enables real-time updates of logistics information on RFID tags, ensuring that goods can be accurately tracked and identified during the logistics process. When the RFID reader reads the RFID tag again in subsequent logistics links, it can obtain the latest logistics information, thereby supporting the continuity, accuracy and efficiency of logistics information management.

[0122] The embodiment of the present invention introduces a spectrum sensing unit to perform real-time scanning and detection of the surrounding electromagnetic environment to obtain detailed electromagnetic signal spectrum data. This measure enables the system to fully understand the distribution of electromagnetic signals in the current environment, and provides an accurate data basis for subsequent interference identification and frequency optimization. Next, the control processing unit conducts an in-depth analysis of the spectrum data, and uses the signal processing algorithm to identify the interference signal source and the frequency range it occupies. This step is critical, as it enables the system to accurately locate the interference source, thereby taking targeted measures to avoid it. Then, based on the frequency range and spectrum data of the interference signal source, the control processing unit calculates the candidate operating frequency range of the RFID reader and selects the optimal target operating frequency from it. This process fully considers performance indicators such as signal strength, signal interference degree, and data transmission rate, ensuring that the RFID logistics information management system can operate at the optimal frequency, improving communication quality and data transmission stability. In addition, this embodiment also realizes the synchronous adjustment of the tag operating frequency through the handshake communication mechanism between the RFID reader and the RFID tag, further enhancing the system's anti-interference ability. Finally, the read logistics information is stored in the database, providing real-time and accurate data support for logistics management.

[0123] Through these comprehensive measures, this 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, and promotes the intelligent development of the logistics industry.

[0124] The method provided in the above embodiment can be executed by a control processing unit, which is specifically an electronic device. The following describes the electronic device in the embodiment of the present invention from the perspective of hardware processing. Figure 4 , is a schematic diagram of a physical device structure of an electronic device in an embodiment of the present invention.

[0125] It should be noted that Figure 4 The structure of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0126] like Figure 4As shown, the electronic device includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 402 or the program loaded from the storage part 408 to the random access memory (RAM) 403, such as executing the method described in the above embodiment. In RAM 403, various programs and data required for system operation are also stored. CPU 401, ROM 402 and RAM 403 are connected to each other through bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0127] The following components are connected to the I / O interface 405: an input section 406 including an audio input device, a button switch, etc.; an output section 407 including a liquid crystal display (LCD) and an audio output device, an indicator light, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. 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 needed. A removable medium 411, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 410 as needed so that a computer program read therefrom is installed into the storage section 408 as needed.

[0128] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer readable medium, and the computer program includes a computer program for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 409, and / or installed from the removable medium 411. When the computer program is executed by the central processing unit (CPU) 401, various functions defined in the present invention are performed.

[0129] It should be noted that specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0130] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for implementing the specified logical functions. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings.

[0131] Specifically, the electronic device of this embodiment includes a processor and a memory, the memory is coupled to one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and one or more processors call the computer instructions to enable the electronic device to execute the method provided by the above embodiment.

[0132] As another aspect, the present invention further provides a computer-readable storage medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above storage medium carries one or more computer programs, and when the above one or more computer programs are executed by a processor of the electronic device, the electronic device implements the method provided in the above embodiment.

[0133] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the scope of the technical solutions of the embodiments of the present invention.

[0134] As used in the above embodiments, the term "when..." may be interpreted to mean "if..." or "after..." or "in response to determining..." or "in response to detecting...", depending on the context. Similarly, the phrases "upon determining..." or "if (the stated condition or event) is detected" may be interpreted to mean "if determining..." or "in response to determining..." or "upon detecting (the stated condition or event)" or "in response to detecting (the stated condition or event)", depending on the context.

[0135] Those skilled in the art can understand that to implement all or part of the processes in the above-mentioned embodiments, the processes can be completed by computer programs to instruct related hardware, and the programs can be stored in computer-readable storage media. When the programs are executed, they can include the processes of the above-mentioned method embodiments. The aforementioned storage media include: ROM or random access memory RAM, magnetic disk or optical disk and other media that can store program codes.

Claims

1. A logistics information management method based on RFID, characterized in that: include: Obtain electromagnetic signal spectrum data of the surrounding environment of the goods; Determine the frequency range of interference signals existing in the surrounding environment according to the electromagnetic signal spectrum data; Determine a candidate operating frequency range of the RFID reader based on the interference signal frequency range and the electromagnetic signal spectrum data; Determining a target operating frequency according to performance indicators of each candidate operating frequency in the candidate operating frequency range, wherein the performance indicators include signal strength, signal interference degree, and data transmission rate; After the working frequency of the RFID reader is adjusted to the target working frequency, the RFID reader performs handshake communication with the RFID tag of the goods, 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, the logistics information of the goods transmitted by the RFID reader is received, and the logistics information is obtained by the RFID reader from the RFID tag; The logistics information is stored in a logistics information database.

2. The method according to claim 1, characterized in that: The determining the target operating frequency according to the performance index of each candidate operating frequency in the candidate operating frequency range includes: Determine a performance score for each of the candidate operating frequencies according to the performance indicator; The candidate operating frequency with the highest performance score is determined as the target operating frequency.

3. The method according to claim 2, characterized in that Determining the performance score of each of the candidate operating frequencies according to the performance indicator includes: The performance score is calculated by a performance score formula, and the performance score formula includes: Among them, P represents the performance score, S represents the signal strength, S0 represents the preset reference signal strength, I represents the signal interference level, R represents the data transmission rate, and α, β, and γ are adjustment factors respectively.

4. The method according to any one of claims 1 to 3, characterized in that: After storing the logistics information in the logistics information database, the method further comprises: Get the current location information and logistics information update time of the goods, Generate logistics update information according to the logistics information, the positioning information and the logistics information update time; The logistics update information is sent to the RFID reader / writer, so that the RFID reader / writer writes the logistics update information into the RFID tag.

5. The method according to claim 4, characterized in that The generating logistics update information according to the logistics information, the positioning information and the logistics information update time includes: Obtaining environmental information of the current location of the goods; The logistics update information is generated according to the logistics information, the positioning information, the logistics information update time and the environmental information.

6. 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 the logistics personnel in sorting or storing the goods.

7. The method according to claim 1, characterized in that Determining the frequency range of interference signals existing in the surrounding environment according to the electromagnetic signal spectrum data includes: Extract key feature data from the electromagnetic signal spectrum data; The key feature data is input into a preset interference signal recognition model to obtain the interference signal frequency range.

8. An electronic device, characterized in that: including one or more processors and memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, wherein the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the electronic device to execute the method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing computer instructions, characterized in that: When the computer instructions are executed on an electronic device, the electronic device is caused to execute the method as claimed in any one of claims 1 to 7.

10. A computer program product, characterized in that When the computer program product is run on an electronic device, the electronic device is enabled to execute the method according to any one of claims 1 to 7.

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