Intelligent logistics management system based on RFID technology

Abstract

The invention discloses an intelligent logistics management system based on an RFID technology, and relates to the technical field of logistics management, and the system comprises a sensor integration and data collection module which integrates a temperature and humidity sensor, a pressure sensor, an illumination sensor, a vibration sensor and an air quality sensor on an RFID tag or a reader-writer, through the highly-integrated sensor module, comprehensive and real-time monitoring of the environment and the cargo state in the cargo transportation and storage process is achieved, the accuracy and efficiency of data acquisition are greatly improved, the overall energy consumption of the system is effectively reduced, and the system is suitable for popularization and application. Through comprehensive application of a temperature and humidity sensor, a pressure sensor, an illumination sensor, a vibration sensor and an air quality sensor, the system can accurately capture any small changes, such as temperature and humidity fluctuation, pressure abnormity, excessive illumination or vibration collision, of cargoes in the transportation process, and the comprehensive and multi-level monitoring means can accurately monitor the cargoes in the transportation process. And a powerful guarantee is provided for safe transportation of goods.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics management, and particularly to an intelligent logistics management system based on RFID technology. Background Art

[0002] With the rapid development of the logistics industry, the requirements for cargo transportation and warehousing management are increasing day by day. In the logistics process, the safety, quality and timeliness of goods have become the focus of enterprises. In order to ensure the safety and integrity of goods during transportation and warehousing, various advanced technical means have been widely applied to logistics management. Among them, as a non-contact automatic identification technology, RFID technology has been widely used in the logistics field due to its advantages of fast identification speed, high accuracy and large information storage capacity. Through RFID technology, real-time tracking, positioning and status monitoring of goods can be realized, which provides great convenience for logistics management.

[0003] However, there are still some deficiencies in the application of traditional RFID technology in logistics management. On the one hand, traditional RFID systems can often only achieve simple functions of goods identification and positioning, and cannot comprehensively and real-time monitor the environment and status of goods. This leads to the situation that once environmental changes or abnormal goods status occur during cargo transportation and warehousing, they are often unable to be detected and processed in time, thus bringing potential risks to the safety and quality of goods. On the other hand, traditional RFID systems also have certain limitations in signal transmission. In a complex logistics environment, RFID signals are easily interfered by various factors, such as metal objects and electromagnetic interference, resulting in a decline in signal quality and even the inability to transmit data normally. This not only affects the efficiency and accuracy of logistics management, but also increases the operating costs and time costs of enterprises.

[0004] Therefore, the development of an intelligent logistics management system based on RFID technology not only improves the intelligent level and emergency response ability of logistics management, but also reduces the operating costs and time costs of enterprises, providing strong support for the safe and efficient development of the logistics industry. Summary of the Invention

[0005] The purpose of the present invention is to make up for the deficiencies of the existing technology, and provide an intelligent logistics management system based on RFID technology. This system integrates a variety of sensors, can comprehensively and real-time monitor the environment and status of goods during cargo transportation and warehousing, and through signal enhancement and stabilization technology, ensures the stable transmission of RFID signals in a complex logistics environment. At the same time, the system has strong data analysis and evaluation capabilities, can timely detect potential risks, and remind the staff through a variety of warning methods.

[0006] To solve the above technical problems, the present invention provides the following technical solution: An intelligent logistics management system based on RFID technology, the system includes: Sensor integration and data acquisition module: Integrate temperature and humidity sensors, pressure sensors, light sensors, vibration sensors, and air quality sensors on RFID tags or readers. Each sensor starts to collect data on the environment and the state of the goods in real time from the beginning of the goods transportation and warehousing stage; Data transmission and preliminary processing module: The data collected by the sensors is transmitted to the data processing center through Bluetooth, Wi-Fi, and ZigBee wireless communication technologies, and format unification and integrity verification are performed; Signal enhancement and stabilization module: During the data transmission process, the RFID signal is monitored in real time. The quality of the RFID signal is evaluated by means of the bit error rate and the signal-to-noise ratio. When a poor RFID signal is detected, the degree of environmental interference is evaluated using the environmental interference index, and the transmission power and frequency of the reader are adjusted according to the evaluation results; Data analysis and evaluation module: Extract the transmitted data from the data processing center and perform preprocessing. Determine the extrusion and collision conditions of the goods through the data of vibration and pressure sensors; Determine the excessive light condition through the data of the light sensor; Determine whether the environmental parameters are abnormal through the data of temperature, humidity, and air quality sensors, and construct a comprehensive risk assessment index to determine the state of the goods; Decision-making and early warning execution module: Receive the results analyzed by the data analysis and evaluation module. Once an abnormality is found, an alarm is issued through software prompts, sounds, text messages, and emails to remind the staff to take countermeasures.

[0007] Furthermore, the data collected by each sensor and the collection frequency in the sensor integration and data acquisition module are as follows: The temperature and humidity sensor collects the ambient temperature and humidity, and the collection frequency is 0.1Hz - 1Hz; The pressure sensor captures the change in the pressure of the goods, and the collection frequency is 1 / 60Hz; The light sensor monitors the light intensity and spectrum, and the collection frequency is 1 / 5Hz; The vibration sensor records the vibration parameters, and the collection frequency is 10 - 1000Hz; The air quality sensor detects the concentration of harmful gases, and the collection frequency is 1 / 60Hz.

[0008] Even further, in the data transmission and preliminary processing module, Bluetooth is used for short-distance and low-power consumption transmission within the warehouse, Wi-Fi is used for long-distance and large-volume data transmission, and ZigBee is used to build a sensor network in a complex logistics environment for data transmission between multiple RFID tags and readers.

[0009] Even further, in the signal enhancement and stabilization module, the bit error rate and the signal-to-noise ratio are used to evaluate the signal quality. Let the signal quality evaluation index be , and the calculation formula is: , where is the BER at time , is the SNR at time , is the maximum SNR that the system can tolerate, is the weight for the BER, is the weight for the SNR, and , and its value is adjusted according to specific application scenarios and requirements. When it is lower than the set threshold , it indicates that the signal quality is poor. is the preset signal quality threshold.

[0010] Furthermore, in the signal enhancement and stabilization module, the environmental interference index is used to evaluate the degree of environmental interference. Let be the interference coefficient of metal objects, be the electromagnetic interference coefficient, be the environmental interference index, and the calculation formula for the environmental interference index is: , where the electromagnetic interference coefficient is calculated. Let the frequency of the interference signal detected at time be , and the intensity of the interference signal be . The calculation formula is: , is the intensity of the interference signal detected at time , is the maximum intensity of the interference signal that the system can tolerate, is the center frequency of the RFID signal, is the time when the frequency of the interference signal is detected, is the working frequency band bandwidth of the system. The calculation of the interference coefficient of metal objects is as follows. Let the signal reflection intensity measured at time be , and the initial transmission intensity of the signal be . The calculation formula is: , is the signal reflection intensity measured at time , is the initial transmission intensity of the signal, is the attenuation coefficient related to the characteristics of the metal object, is the time when the distance between the metal object and the reader-writer is is the interference coefficient of metal objects, is the weight coefficient of the electromagnetic interference coefficient, and .

[0011] Further, for the adjustment of the transmission power in the signal enhancement and stabilization module, let the adjusted transmission power be , and the formula is: , where is the power adjustment coefficient, and its value range is 0.1 - 0.5, J is the environmental interference index, is the initial transmission power. When J = 0, it means there is no environmental interference, and the transmission power remains the initial value ; when J > 0, as the environmental interference increases, the transmission power increases accordingly.

[0012] Further, for the adjustment of the transmission frequency in the signal enhancement and stabilization module, let the adjusted transmission frequency be , and the formula is: , where is the frequency adjustment coefficient, is the environmental interference index, is the allowable frequency offset step of the system, is the initial transmission frequency. When , the transmission frequency remains the initial value ; when , the transmission frequency will be adjusted according to the environmental interference situation.

[0013] Further, for the determination of risks of extrusion and collision, excessive light, and abnormal environmental parameters in the data analysis and evaluation module: Let the vibration amplitude threshold of the vibration sensor data be , and the pressure threshold of the pressure sensor data be , or , it is determined that there is an extrusion or collision situation, where is the actual vibration amplitude value detected by the vibration sensor, is the actual pressure value detected by the pressure sensor; Let the illuminance threshold of the illuminance sensor data be , , it is determined that the goods are affected by excessive light, where is the actual illuminance value detected by the illuminance sensor; Let the standard temperature range be , the standard humidity range be , and the standard range of the air quality index be ; Temperature anomaly judgment: If or , then the temperature is abnormal; Humidity anomaly judgment: If or , then the humidity is abnormal; Air quality anomaly judgment: If or , then the air quality is abnormal; where is the actual temperature value detected by the temperature sensor, is the actual humidity value detected by the humidity sensor, is the actual air quality index value detected.

[0014] Furthermore, in the data analysis and evaluation module, the comprehensive risk assessment index for determining the status of goods is constructed by integrating extrusion and collision, excessive light, and environmental parameters. Let the comprehensive risk assessment index be , the extrusion and collision risk be , the excessive light risk be , and the environmental parameter anomaly risk be . The calculation formula for the comprehensive risk assessment index is: , where , , are the weights of the extrusion and collision risk , the excessive light risk , and the environmental parameter anomaly risk respectively, and . The determination of the extrusion and collision risk : There is an extrusion or collision situation, ; otherwise ; The determination of the excessive light risk : Excessive light, ; otherwise . The determination of the environmental parameter anomaly risk : Any one of the temperature, humidity, and air quality parameters is abnormal, ; otherwise . Set the comprehensive risk threshold . When , it is determined that the status of the goods is abnormal.

[0015] Compared with the prior art, the intelligent logistics management system based on RFID technology has the following beneficial effects: 1. The present invention realizes comprehensive and real-time monitoring of the environment and the status of goods during the transportation and warehousing processes through a highly integrated sensor module. It not only greatly improves the accuracy and efficiency of data collection but also effectively reduces the overall energy consumption of the system. The comprehensive application of temperature and humidity sensors, pressure sensors, light sensors, vibration sensors, and air quality sensors enables the system to accurately capture any minor changes in the goods during transportation, such as temperature and humidity fluctuations, abnormal pressure, excessive light, or vibration and collision. This all-round and multi-level monitoring method provides strong guarantee for the safe transportation of goods. At the same time, through the flexible application of multiple wireless communication technologies such as Bluetooth, Wi-Fi, and ZigBee, the system can ensure the stable transmission of data in a complex logistics environment, further enhancing the reliability and practicality of the system.

[0016] 2. By continuously monitoring the RFID signal quality in real time and precisely evaluating it using factors such as bit error rate and signal-to-noise ratio, the system can detect and respond to poor signal conditions in a timely manner. By deeply analyzing environmental interference factors using environmental interference indicators and automatically adjusting the transmission power and frequency of the reader according to the analysis results, signal interference can be effectively avoided, ensuring the stable transmission of data. This intelligent signal enhancement and stabilization mechanism not only greatly improves the efficiency and accuracy of data transmission but also effectively reduces the risks of logistics delays and goods losses caused by signal problems. In addition, the system also has strong data analysis and evaluation capabilities. It can preprocess the collected data and conduct comprehensive risk assessments to timely detect potential risks during the transportation of goods and remind the staff to take countermeasures through various warning methods, further enhancing the intelligent level and emergency response ability of logistics management.

[0017] Other advantages, objectives, and features of the present invention will be described to some extent in the subsequent specification, and to some extent, will be obvious to those skilled in the art based on the study of the following text, or can be learned from the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0019] Figure 1 It is a flowchart of an intelligent logistics management system based on RFID technology; Figure 2 It is a framework diagram of an intelligent logistics management system based on RFID technology. DETAILED DESCRIPTION

[0020] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0021] Embodiment 1: Seafood cold chain logistics and transportation scene.

[0022] like Figure 1 As shown, the intelligent logistics management system of the present invention includes a sensor integration and data acquisition module, a data transmission and preliminary processing module, a signal enhancement and stabilization module, a data analysis and evaluation module, and a decision-making and early warning execution module. The following uses seafood cold chain transportation as an example to explain the collaborative process of each module in detail: Sensor integration and data collection: In refrigerated containers used to transport seafood (such as salmon), high-precision temperature and humidity sensors, pressure sensors, light sensors, vibration sensors, and air quality sensors are integrated into special RFID tags. The temperature and humidity sensors collect temperature and humidity data in the container at a frequency of 0.5Hz. This frequency can not only capture small changes in temperature and humidity in a timely manner, but also avoid data redundancy caused by excessive collection. In the early stages of transportation, if the container refrigeration system is started, the temperature and humidity sensors can quickly sense temperature drops and humidity changes and record the data. The pressure sensor collects temperature and humidity data at a frequency of 1 / 60Hz. Capturing pressure changes on containers to monitor whether they are improperly squeezed during transportation. For example, when a truck is driving on a bumpy road, the pressure sensor can accurately measure the pressure fluctuations on the container. The light sensor monitors light intensity and spectrum at a frequency of 1 / 5Hz to prevent seafood from being affected by excessive light and affecting its quality. The vibration sensor records vibration parameters at a frequency of 50Hz, which can effectively monitor vibration conditions during transportation and avoid damage to seafood due to severe vibration. The air quality sensor detects the concentration of harmful gases at a frequency of 1 / 60Hz to promptly detect any odors or harmful gases that may be generated in the container.

[0023] Data transmission and preliminary processing: When carrying out short-distance transportation in the warehouse, Bluetooth uses its low power consumption characteristics to stably transmit the data collected by the sensor to the data processing center, such as Figure 2 As shown, when a truck begins long-distance transport, Wi-Fi takes on the task of transmitting large amounts of data, ensuring that all types of data in the container can be transmitted to the data processing center in real time and accurately. Once the data arrives at the processing center, it is immediately formatted and integrity checked. Data in different formats collected by different sensors are converted into a unified format to facilitate subsequent analysis and processing. At the same time, the data is checked for completeness. If there is any missing or erroneous data, it is repaired or supplemented in a timely manner.

[0024] Signal Enhancement and Stabilization: The system monitors RFID signals in real time and evaluates signal quality through the bit error rate and signal-to-noise ratio. The formula is: , where is the bit error rate at time , is the signal-to-noise ratio at time , is the maximum signal-to-noise ratio that the system can tolerate, and are weight coefficients, and , and the values are adjusted according to specific application scenarios and requirements. For example, when a transport vehicle passes through an area with strong electromagnetic interference, such as near a high-voltage substation, after calculation is lower than the set threshold , it indicates that the signal quality is poor. is the preset signal quality threshold. The system will automatically calculate the environmental interference index and evaluate the degree of environmental interference. Suppose the detected interference signal frequency is , and the intensity is . Calculate the electromagnetic interference coefficient according to the formula: , is the intensity of the interference signal detected at time , is the maximum intensity of the interference signal that the system can tolerate, is the center frequency of the RFID signal, is the time when the detected interference signal frequency is, is the working frequency band width of the system. At the same time, measure the signal reflection intensity , and calculate the metal object interference coefficient using the formula: , is the signal reflection intensity measured at time , is the initial transmission intensity of the signal, is the attenuation coefficient related to the characteristics of the metal object, is the time when the distance between the metal object and the reader-writer, and then obtain the environmental interference index , the formula is: , where is the metal object interference coefficient, is the weight coefficient of the electromagnetic interference coefficient, , according to value, adjust the transmission power and frequency of the reader-writer. For example, the adjusted transmission power calculation formula is: , where is the power adjustment coefficient, and its value range is 0.1 - 0.5. J is the environmental interference index. is the initial transmission power, and the transmission frequency adjustment formula is: , where is the frequency adjustment coefficient, is the environmental interference index, is the frequency offset step allowed by the system, is the initial transmission frequency, so as to ensure stable signal transmission and ensure that data is not lost.

[0025] Data analysis and evaluation: After extracting data from the data processing center, the system will judge whether the salmon is squeezed or collided through the vibration and pressure sensor data. If the vibration amplitude is greater than the vibration amplitude threshold or the pressure is greater than the pressure threshold , it is determined that there is a squeezing or collision situation. For example, when the vibration amplitude exceeds the set threshold, it may mean that the container has collided during transportation, and it is necessary to check the status of the salmon in time. Whether the light is excessive is judged through the light sensor data. If the illuminance is greater than the illuminance threshold , it is determined that the light is excessive, which may affect the color and freshness of the salmon. Compare the temperature, humidity, air quality environmental parameters with the standard range. If the temperature is lower than the lowest standard temperature or higher than the highest standard temperature , humidity is lower than the lowest standard humidity or higher than the highest standard humidity , air quality index is lower than the lowest standard air quality index or higher than the highest standard air quality index , then the corresponding parameter is abnormal. The comprehensive risk assessment index is constructed by combining squeezing and collision, excessive light and environmental parameters to judge the status of the goods. Let the comprehensive risk assessment index be , the squeezing and collision risk is , the excessive light risk is , the environmental parameter abnormality risk is , the calculation formula of the comprehensive risk assessment index is: , where , , are the weights of the squeezing and collision risk , the excessive light risk , the environmental parameter abnormality risk respectively, and , the squeezing and collision risk Determination: There is a situation of extrusion or collision, ; otherwise ; Risk of excessive light Determination: Excessive light, ; otherwise , Risk of abnormal environmental parameters Determination: Any one of the parameters of temperature, humidity, and air quality is abnormal, ; otherwise , After calculation , Determine the status of the goods.

[0026] Decision-making and early warning execution: Comprehensive risk assessment indicators , Determine the status of the goods, and the system will immediately issue an alarm in multiple ways such as software prompts, sounds, text messages, and emails. For example, when the temperature rises abnormally, the system will send an alarm to the transportation personnel and management personnel to remind them to check whether the refrigeration equipment is operating normally and take emergency cooling measures such as adding ice cubes or adjusting the parameters of the refrigeration system to ensure the freshness and quality of the salmon.

[0027] In summary, in the seafood cold chain logistics transportation scenario, the intelligent logistics management system based on RFID technology plays a key role. The sensor integration and data acquisition module monitors the environment and the status of the goods in the container in real time. The data transmission and preliminary processing module ensures the accurate transmission and collation of data. The signal enhancement and stability module deals with the interference during transportation to ensure the reliable acquisition of data. The data analysis and evaluation module accurately judges whether there are risks of extrusion and collision, excessive light, and abnormal environmental parameters of the seafood. The comprehensive risk assessment indicators comprehensively reflect the status of the goods. The decision-making and early warning execution module notifies the staff to take measures in a timely manner when abnormalities are found. This system comprehensively guarantees the quality of seafood during transportation, reduces losses, and improves the management level of cold chain logistics.

[0028] Embodiment 2: Precision instrument warehousing management scenario.

[0029] Sensor Integration and Data Acquisition: On the shelves storing precision instruments (such as high-end microscopes), highly sensitive temperature and humidity sensors, pressure sensors, light sensors, vibration sensors, and air quality sensors are integrated into the RFID reader. The temperature and humidity sensors collect the temperature and humidity data in the warehouse at a frequency of 0.3 Hz, ensuring that subtle changes in temperature and humidity can be detected in a timely manner. During seasonal ventilation in the warehouse, the temperature and humidity sensors can monitor the fluctuations in temperature and humidity. The pressure sensors capture changes in the shelf load pressure at a frequency of 1 / 60 Hz. If new instruments are placed on the shelves or the shelves show abnormalities, the pressure sensors can quickly sense it. The light sensors monitor the light intensity and spectrum at a frequency of 1 / 5 Hz to avoid damage to the instruments caused by light. The vibration sensors record vibration parameters at a frequency of 80 Hz, effectively monitoring the vibration situation in the warehouse to prevent vibration from affecting the instrument accuracy. The air quality sensors detect the concentration of harmful gases at a frequency of 1 / 60 Hz to timely detect gases that may corrode the instruments.

[0030] Data Transmission and Preliminary Processing: In the warehouse, a sensor network is constructed using ZigBee technology to achieve data transmission between multiple RFID tags and the reader. ZigBee technology has good adaptability in a complex warehouse environment, ensuring stable data transmission. After the data is transmitted to the data processing center, it will undergo format unification and integrity verification, integrating the data from different sensors into a format convenient for analysis and checking the accuracy and integrity of the data.

[0031] Signal Enhancement and Stabilization: The system monitors the RFID signal quality in real time. When there is interference from large metal shelves in the warehouse, the system calculates the environmental interference index, evaluates the degree of environmental interference, and calculates the signal quality evaluation index through the bit error rate and signal-to-noise ratio , and the calculation formula is: , after calculation is lower than the set threshold indicating that the signal quality is poor. Analyze the environmental interference factors using the environmental interference index. Assume that at a certain moment, electromagnetic interference and metal object interference are detected. The calculation formula for the environmental interference index is: , according to adjust the transmitter power and frequency of the reader. The adjustment formula is: , and the formula for adjusting the transmission frequency is: to ensure signal stability and accurate data acquisition.

[0032] Data Analysis and Evaluation: After extracting data from the data processing center, the system determines whether the microscope has been squeezed or collided. If the vibration amplitude is greater than the vibration amplitude threshold or the pressure is greater than the pressure threshold , it is determined that there is a risk of extrusion or collision. For example, if the vibration amplitude increases abnormally, it may indicate that the shelf has been impacted by an external force, and it is necessary to check whether the microscope is damaged. If the illuminance is greater than the illuminance threshold , it is determined that the illumination is excessive, which may affect the optical components of the instrument. Compare the temperature, humidity, and air quality environmental parameters with the standard range to determine whether there is an abnormality. The pressure threshold for the pressure sensor data is , or , it is determined that there is a situation of extrusion or collision. , it is determined that the goods are affected by excessive illumination. For abnormal temperature judgment, if or , then the temperature is abnormal. For abnormal humidity judgment: if or , then the humidity is abnormal. For abnormal air quality judgment: if or , then the air quality is abnormal. Construct a comprehensive risk assessment index based on extrusion and collision, excessive illumination, and environmental parameters to determine the status of the goods. The calculation formula is: , after calculation , is the comprehensive risk threshold, and it is determined that the status of the goods is abnormal.

[0033] Decision-making and early warning execution: After calculation , it is determined that the status of the goods is abnormal. The system will issue an alarm through software prompts, sounds, text messages, and emails. For example, when abnormal vibration is detected, the system will remind the warehouse management personnel to check the stability of the shelf and see if there is any displacement or damage to the microscope. If the air quality is abnormal, the management personnel can take ventilation measures in a timely manner or check the air purification equipment to ensure a good storage environment for precision instruments and avoid affecting the accuracy of the instruments.

[0034] In summary, for the warehousing management of precision instruments, this intelligent logistics management system has significant advantages. By integrating multiple sensors into the RFID reader, it can collect real-time data on the warehouse environment and instrument status, and transmit and process it with the help of ZigBee technology. In terms of signal enhancement and stability, it can effectively handle interference in the warehouse to ensure accurate data. The data analysis and evaluation module determines whether the instrument is damaged based on the set threshold, and the comprehensive risk assessment index accurately determines its status. Once an abnormality occurs, the decision-making and early warning execution module quickly issues an alarm for the management personnel to handle in a timely manner. This system greatly improves the safety and reliability of the warehousing management of precision instruments, effectively protects the accuracy of the instruments, reduces potential losses, and helps the intelligent upgrade of warehousing management.

[0035] As described above, it is only the preferred embodiment of the present invention, and there is no limitation to the present invention in any form. Although the present invention has been disclosed as above with the preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments of equivalent changes within the scope of the technical solution of the present invention by using the technical content disclosed above. However, as long as it does not depart from the content of the technical solution of the present invention, any brief modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. An intelligent logistics management system based on RFID technology, characterized in that, The system includes: Sensor integration and data acquisition module: Integrate temperature and humidity sensors, pressure sensors, light sensors, vibration sensors, and air quality sensors onto RFID tags or readers. Each sensor starts collecting data on the environment and the status of the goods in real time from the beginning of the goods transportation and warehousing stage; Data transmission and preliminary processing module: The data collected by the sensors is transmitted to the data processing center through Bluetooth, Wi-Fi, and ZigBee wireless communication technologies, and format unification and integrity verification are performed; Signal enhancement and stability module: During the data transmission process, the RFID signal is monitored in real time. The quality of the RFID signal is evaluated by means of the bit error rate and signal-to-noise ratio. When a poor RFID signal is detected, the degree of environmental interference is evaluated using environmental interference indicators, and the transmission power and frequency of the reader are adjusted according to the evaluation results; Data analysis and evaluation module: Extract the transmitted data from the data processing center and perform preprocessing. Judge the situation of goods extrusion and collision through the data of vibration and pressure sensors; Judge the situation of excessive light through the data of light sensors; Judge whether the environmental parameters are abnormal through the data of temperature and humidity and air quality sensors, and construct a comprehensive risk assessment index to determine the status of the goods; Decision-making and early warning execution module: Receive the results analyzed by the data analysis and evaluation module. Once an abnormality is found, an alarm is issued through software prompts, sounds, text messages, and emails to remind the staff to take countermeasures.

2. The intelligent logistics management system based on RFID technology according to claim 1, wherein In the sensor integration and data acquisition module, the data and acquisition frequency collected by each sensor: The temperature and humidity sensor collects the ambient temperature and humidity, and the acquisition frequency is 0.1Hz - 1Hz; The pressure sensor captures the change in the pressure of the goods, and the acquisition frequency is 1 / 60Hz; The light sensor monitors the light intensity and spectrum, and the acquisition frequency is 1 / 5Hz; The vibration sensor records vibration parameters, and the acquisition frequency is 10 - 1000Hz; The air quality sensor detects the concentration of harmful gases, and the acquisition frequency is 1 / 60Hz.

3. An intelligent logistics management system based on RFID technology according to claim 1, characterized in that, In the data transmission and preliminary processing module, Bluetooth is used for short-distance and low-power transmission within the warehouse, Wi-Fi is used for long-distance and large-volume data transmission, and ZigBee is used to build a sensor network in a complex logistics environment for data transmission between multiple RFID tags and readers.

4. An intelligent logistics management system based on RFID technology according to claim 1, characterized in that, In the signal enhancement and stabilization module, the bit error rate and signal-to-noise ratio are used to evaluate the signal quality. Let the signal quality evaluation index be . The calculation formula is: , where is the bit error rate at time , is the signal-to-noise ratio at time , is the maximum signal-to-noise ratio that the system can withstand, is the weight of the bit error rate, is the weight of the signal-to-noise ratio, and , and the value is adjusted according to specific application scenarios and requirements. is lower than the set threshold , indicating that the signal quality is poor. is the preset signal quality threshold.

5. An intelligent logistics management system based on RFID technology according to claim 1, characterized in that, In the signal enhancement and stabilization module, the environmental interference degree is evaluated by using the environmental interference index. Let be the interference coefficient of metal objects, be the electromagnetic interference coefficient, be the environmental interference index. The calculation formula of the environmental interference index is: , where the calculation of the electromagnetic interference coefficient is as follows. Suppose the interference signal frequency detected at time is , and the intensity of the interference signal is . The calculation formula is: , is the intensity of the interference signal detected at time , is the maximum interference signal intensity that the system can withstand, is the center frequency of the RFID signal, is the time when the interference signal frequency is detected, is the working frequency band width of the system. The calculation of the interference coefficient of metal objects is as follows. Suppose the signal reflection intensity measured at time is , and the initial transmission intensity of the signal is . The calculation formula is: , is the signal reflection intensity measured at time , is the initial transmission intensity of the signal, is the attenuation coefficient related to the characteristics of metal objects, is the time when the distance between the metal object and the reader-writer is, is the interference coefficient of metal objects, is the weight coefficient of the electromagnetic interference coefficient, and .

6. An intelligent logistics management system based on RFID technology according to claim 5, characterized in that, For the adjustment of the transmission power in the signal enhancement and stabilization module, let the adjusted transmission power be , and the formula is: , where is the power adjustment coefficient, and its value range is 0.1 - 0.

5. J is the environmental interference index, is the initial transmission power.

7. An intelligent logistics management system based on RFID technology according to claim 5, characterized in that, For the adjustment of the transmission power in the signal enhancement and stabilization module, let the adjusted transmission frequency be . The formula is: , where is the frequency adjustment coefficient, is the environmental interference index, is the allowable frequency offset step of the system, is the initial transmission frequency.

8. An intelligent logistics management system based on RFID technology according to claim 1, characterized in that, In the data analysis and evaluation module, the determination of risks such as extrusion and collision, excessive light, and abnormal environmental parameters: Set the vibration amplitude threshold of the vibration sensor data as , and set the pressure threshold of the pressure sensor data as . Or , it is determined that there is a squeezing or collision situation, where is the actual vibration amplitude value detected by the vibration sensor, is the actual pressure value detected by the pressure sensor; Set the illuminance threshold of the light sensor data , , determine that the goods are affected by excessive light, where is the actual illuminance value detected by the light sensor; Let the standard temperature range be , and the standard humidity range be , and the standard range of air quality index be ; Temperature anomaly judgment: If or , then the temperature is abnormal; Humidity anomaly judgment: If or , then the humidity is abnormal; Air quality anomaly judgment: If or , then the air quality is abnormal; wherein is the actual temperature value detected by the temperature sensor, is the actual humidity value detected by the humidity sensor, is the actual air quality index value detected.

9. An intelligent logistics management system based on RFID technology according to claim 1, characterized in that, In the data analysis and evaluation module, a comprehensive risk assessment index is constructed by integrating extrusion and collision, excessive light, and environmental parameters to determine the status of the goods. Let the comprehensive risk assessment index be , the extrusion and collision risk be , the excessive light risk be , and the abnormal environmental parameter risk be . The calculation formula for the comprehensive risk assessment index is: , where , , are the weights of the extrusion and collision risk , the excessive light risk , and the abnormal environmental parameter risk respectively, and . The determination of the extrusion and collision risk : If there is an extrusion or collision situation, ; otherwise . The determination of the excessive light risk : If the light is excessive, ; otherwise . The determination of the abnormal environmental parameter risk : If any one of the parameters of temperature, humidity, and air quality is abnormal, ; otherwise . Set the comprehensive risk threshold . When , it is determined that the status of the goods is abnormal.

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