Safety monitoring method and system for supply chain

Abstract

The invention relates to the technical field of data management, in particular to a safety monitoring method and system for a supply chain, and the method comprises the steps: obtaining the monitoring data of each logistics link of the supply chain during the conveying of a specified cargo, and obtaining the safety monitoring features of the specified cargo in each logistics link based on the analysis of the monitoring data, when the specified cargo is handed over among the logistics links, the monitoring units deployed in the logistics links participating in the handover are subjected to key docking so as to transmit the safety monitoring characteristics among the monitoring units, and when the specified cargo reaches the logistics link at the tail end, the safety monitoring characteristics of the logistics links which are transmitted accumulatively are subjected to information compression so as to transmit the safety monitoring characteristics of the logistics links which are transmitted accumulatively. And generating full-process monitoring information corresponding to the specified goods, and storing the full-process monitoring information in a supply chain database.

Description

Technical Field

[0001] This application relates to the technical field of data management, and in particular to a method and system for security monitoring of a supply chain. Background Technology

[0002] With the development of global economic integration, the scale of supply chains is constantly expanding, involving more and more logistics links and participants. Goods need to pass through multiple countries and regions, involving different modes of transportation and warehousing. This complexity makes goods face more risks during transportation. If monitoring data is transmitted through wireless networks using traditional monitoring methods, data leakage is likely to occur. Summary of the Invention Therefore, it is necessary to provide a supply chain security monitoring method and system to address the aforementioned technical issues, which can ensure the confidentiality of supply chain security monitoring data.

[0003] In a first aspect, this application provides a method for security monitoring of a supply chain, the method comprising: Acquire monitoring data of each logistics link in the supply chain when transporting designated goods, and analyze the monitoring data to obtain the safety monitoring characteristics of the designated goods in each logistics link; When the designated goods are handed over between various logistics links, the monitoring units deployed in the logistics links involved in the handover are instructed to perform key docking in order to transmit security monitoring features between the monitoring units. When the designated goods arrive at the final logistics stage, the security monitoring features of each logistics stage that have been cumulatively transmitted are compressed to generate full-process monitoring information for the designated goods and stored in the supply chain database.

[0004] Secondly, this application also provides a supply chain security monitoring system for implementing the supply chain security monitoring method described in any one of the first aspects, comprising: The data monitoring module is used to acquire monitoring data of each logistics link in the supply chain when transporting designated goods, and to analyze the monitoring data to obtain the safety monitoring characteristics of the designated goods in each logistics link. The data handover module is used to enable the monitoring units deployed in the logistics links involved in the handover to perform key docking when the specified goods are handed over between various logistics links, so as to transmit security monitoring features between the monitoring units. The information storage module is used to compress the security monitoring features of each logistics link that have been cumulatively transmitted when the specified goods arrive at the final logistics link, generate full-process monitoring information for the specified goods, and store it in the supply chain database.

[0005] The aforementioned supply chain security monitoring method acquires monitoring data from each stage and analyzes its characteristics, enabling precise understanding of the security status of designated goods at each logistics stage, early detection of potential risks, and key-based transmission of characteristics during handover, ensuring the security and accuracy of data transmission and guaranteeing compliance. The final stage compresses the characteristic information to generate and store full-process monitoring information, saving database storage space and facilitating subsequent query and analysis, providing strong data support for supply chain management and improving overall operational efficiency and security. Attached Figure Description

[0006] Figure 1 This is a schematic diagram illustrating the steps of a supply chain security monitoring method in one embodiment; Figure 2 This is a schematic diagram of the structure of a supply chain security monitoring system in one embodiment. Detailed Implementation

[0007] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0008] The supply chain security monitoring method provided in this application embodiment can be applied to, for example... Figure 1 In the application environment shown: S1: Obtain monitoring data of each logistics link in the supply chain when transporting designated goods, and analyze the monitoring data to obtain the safety monitoring characteristics of the designated goods in each logistics link; S2: When the designated goods are handed over between various logistics links, the monitoring units deployed in the logistics links involved in the handover are instructed to perform key docking in order to transmit security monitoring features between the monitoring units. S3: When the designated goods arrive at the final logistics link, compress the information of the security monitoring characteristics of each logistics link that have been cumulatively transmitted, generate full-process monitoring information for the designated goods, and store it in the supply chain database.

[0009] Specifically, in step S1 of the embodiment provided in this application, monitoring units pre-deployed in each logistics link of the supply chain continuously monitor the logistics link when goods are transported in batches, so as to serve as batch monitoring data for each logistics link. The logistics link of the supply chain usually processes goods in batches. By continuously monitoring the goods transported in batches, the overall operation status and goods status information of the logistics link over a period of time can be comprehensively collected. A batch of goods can be uniformly monitored. Compared with monitoring each item of goods individually, data can be obtained more efficiently, reducing the workload of repeatedly setting up monitoring equipment and collecting data.

[0010] More specifically, the identification codes of each item transported in each batch at each logistics stage are obtained. Based on these identification codes, the batch monitoring data is allocated to designated items to obtain monitoring data for the designated items during the logistics process. The batch monitoring data is the overall data for a batch of goods. To achieve accurate monitoring of designated items, the batch monitoring data needs to be allocated to each specific item based on the item's identification code. This clarifies the specific situation of each item in the logistics process. Different items may have different security needs and risks in the supply chain. Allocating the monitoring data to designated items provides an accurate data foundation for subsequent personalized security analysis of those items.

[0011] More specifically, a logistics simulation model is used to provide feedback on the logistics transportation performance of the logistics links. The parameters of the logistics simulation model are adjusted according to the placement of the specified goods during the logistics transportation process to obtain a logistics environment model for the specified goods. During logistics transportation, the placement of goods affects their surrounding logistics environment. For example, the stacking method and placement position of goods affect their stress and ventilation conditions. By adjusting the parameters of the logistics simulation model based on the placement of goods, the model can more accurately reflect the actual logistics environment of the specified goods. The logistics environment model can provide feedback on the transportation performance of the logistics links. After adjustments based on the actual situation of the specified goods, it can provide more accurate environmental background information for subsequent safety risk analysis, thereby improving the accuracy of the risk analysis.

[0012] More specifically, by performing security risk analysis on the monitoring data based on the logistics environment model, the security monitoring characteristics of the specified goods can be obtained. This analysis, which takes into account both the logistics environment and actual operational data, identifies potential security risks that the goods may face in the logistics process, such as damage, spoilage, or loss. Once the security monitoring characteristics of the specified goods are obtained, it can provide decision-making support for supply chain managers, such as whether additional security measures, adjustments to logistics routes, or optimization of logistics processes are necessary.

[0013] Specifically, in step S2 of the embodiment provided in this application, when the designated goods are handed over between various logistics links, the monitoring unit deployed in the preceding logistics link and the monitoring unit deployed in the following logistics link are connected to a regional network. The regional network connection provides a physical channel for data transmission between monitoring units. Only when an effective network connection is established can the monitoring unit of the preceding logistics link accurately and timely transmit the safety monitoring characteristics to the monitoring unit of the following logistics link, ensuring the smooth transmission of data. At the moment of goods handover, it is necessary to complete the transmission of safety monitoring characteristics in a timely manner. The regional network connection can meet this real-time requirement and avoid the impact of data transmission delay on the timely grasp of the safety status of goods in subsequent logistics links.

[0014] More specifically, a basic key is generated for the logistics process according to preset key rules, and a specific key is generated for the identification code of each item to be handed over according to the preset key rules. The basic key and the specific key are combined into a composite key. The basic key generated for the logistics process according to the preset key rules can represent the specific attributes and security requirements of the logistics process. Different logistics processes have different security levels, operating procedures, etc. The basic key can integrate this information into the key system, providing a basis for subsequent verification. The specific key generated according to the item identification code can ensure that each item has a unique corresponding key information. This enables accurate identification and verification of the designated item during the handover process, preventing item confusion or incorrect handover, and improving the accuracy and security of item handover. The combination of the basic key and the specific key into a composite key increases the complexity and security of the key. A single key is easy to crack, while the composite key integrates the dual information of the logistics process and the item, greatly improving the security of the key and effectively preventing illegal data transmission and malicious attacks.

[0015] More specifically, the composite keys of both parties are connected and verified through a regional network connection. When the verification result shows that the handover between the previous and subsequent logistics links conforms to the expected logistics plan, the security monitoring features generated by the previous logistics link are transmitted to the subsequent logistics link. By connecting and verifying the composite keys of both parties, it is possible to check whether the handover between the previous and subsequent logistics links conforms to the expected logistics plan. If the verification fails, it indicates that there may be anomalies in the handover process, such as unknown origin of goods or non-compliance with regulations in the handover process. At this time, timely measures can be taken to handle the situation and ensure the security and normal operation of the supply chain. Only after the verification is passed will the security monitoring features generated by the previous logistics link be transmitted to the subsequent logistics link, ensuring that the transmitted data is legal and accurate. The subsequent logistics link can continue to monitor and manage the goods based on the received security monitoring features, achieving seamless connection of goods security information.

[0016] More specifically, during the key docking process, staff from the preceding and following logistics links use designated smart terminals to send handover instructions to the monitoring units of the preceding and following logistics links to initiate the key docking work. Simultaneously, the smart terminals of the preceding and following logistics links collect real-time environmental information about the handover area and convert this information into evolutionary factors in the basic key generation process. This ensures that the basic keys from both logistics links possess verification capabilities for the handover area. The staff's use of designated smart terminals to send handover instructions introduces a manual intervention and confirmation mechanism, which avoids erroneous handovers due to system failures or misoperations. Staff participation ensures the accuracy and security of the handover work from a practical operational perspective. Collecting real-time environmental information about the handover area and using it as evolutionary factors in the basic key generation process enables the basic key to verify the handover area. Different handover areas may have different security risks and environmental conditions, such as temperature, humidity, and light. Integrating environmental information into the key system further improves the accuracy and security of key verification, ensuring that the handover process takes place under suitable environmental conditions.

[0017] Specifically, in step S3 of the embodiment provided in this application, when the designated goods arrive at the final logistics link, the safety monitoring features of each logistics link in the supply chain corresponding to the designated goods are cumulatively transmitted to the final logistics link. During the entire supply chain process of goods transportation, the safety monitoring features generated by each logistics link are dispersed. By accumulating these features to the final logistics link, complete safety information about the designated goods in the entire process can be collected, providing a comprehensive data foundation for subsequent analysis and processing. Concentrating all features at the final link facilitates unified information processing and analysis, avoiding the complexity and inconsistency caused by processing data separately in multiple links.

[0018] More specifically, by continuously combining the safety monitoring characteristics of designated goods at each logistics stage accumulated in the final logistics links, a safety monitoring sequence for the designated goods is obtained. By continuously combining the safety monitoring characteristics of each logistics stage, a complete sequence reflecting the changes in the safety status of the designated goods throughout the entire supply chain transportation process can be formed. This sequence can intuitively show the safety status of the goods at different logistics stages, which helps to comprehensively assess the safety status of the goods. After forming the safety monitoring sequence, it is convenient to compare and analyze it with the sequences of other goods in the same batch. It is also beneficial to make longitudinal comparisons of the safety status of the goods in different batches of transportation, thereby discovering potential safety problems or patterns.

[0019] More specifically, based on the safety monitoring sequences of each item transported in batches at the end of the logistics chain, a difference analysis is performed on the safety monitoring sequence of the designated goods to obtain safety difference information of the designated goods within the same batch of transported goods. Although the goods transported in the same batch are similar in overall transportation conditions, due to various factors such as the characteristics of the goods themselves and the packaging conditions, their safety status during transportation varies. Through difference analysis, the differences in safety between the designated goods and other goods in the same batch can be identified, providing a basis for subsequent classification and processing. If the safety difference information of the designated goods is large, it means that the goods have encountered special circumstances or have potential safety risks during transportation. Timely detection of these anomalies helps to take targeted measures to ensure the safety of the goods.

[0020] More specifically, the security difference information is analyzed according to preset standards to obtain the difference level to which the security monitoring sequence of the specified goods belongs. By classifying the security difference information according to preset standards, goods can be classified according to the degree of security difference. Different levels of goods require different processing methods and levels of attention, which can improve the efficiency and targeting of supply chain management. The difference level provides a basis for decision-making on subsequent information processing and storage methods. Different levels correspond to different information generation and storage strategies, which can better meet the needs of supply chain database for data management and utilization.

[0021] More specifically, if the difference level is the first level, the most representative safety monitoring sequence is selected from each item transported in the batch and converted into standard monitoring information. The standard monitoring information is stored in the supply chain database and an information code is generated for the standard monitoring information. The safety difference information is feature-encoded to generate a difference code. The difference code is combined with the information code to obtain the full-process monitoring information of the specified goods. If the difference level is the second level, the safety monitoring sequence is independently feature-encoded to obtain the full-process monitoring information of the specified goods.

[0022] More specifically, for goods with a difference level of Level 1, their safety status is similar to other goods in the same batch. Selecting the most representative safety monitoring sequence to generate standard monitoring information and storing it can reduce data redundancy and improve the storage efficiency of the database. At the same time, combining difference coding with information coding not only preserves standard information but also records the special differences of the goods, facilitating detailed querying and analysis when needed. When the difference level is Level 2, it indicates that the safety status of the goods differs significantly from other goods in the same batch and has uniqueness. Independent feature coding of the safety monitoring sequence can completely record the safety information of the goods throughout the entire process, ensuring that no important safety features are missed, and providing accurate data support for subsequent in-depth analysis and processing.

[0023] This application provides a supply chain security monitoring method that transmits security monitoring features between various logistics links based on regional network connections, and finally transmits the full-process monitoring features of a specified product to an encrypted database. The entire process does not require an internet connection, but relies on signal connections between various monitoring devices, thereby ensuring the confidentiality of supply chain security monitoring data and preventing information theft.

[0024] In one embodiment, the steps of acquiring monitoring data of each logistics link in the supply chain during the transportation of designated goods, and analyzing the monitoring data to obtain the safety monitoring characteristics of the designated goods at each logistics link, include: S11: By pre-deploying monitoring units at each logistics link in the supply chain, continuous monitoring is carried out on the logistics links during the batch delivery of goods, so as to serve as batch monitoring data for each logistics link. S12: Obtain the identification code of each piece of goods transported in each batch in each logistics link, and allocate the batch monitoring data to the designated goods according to the identification code, so as to obtain the monitoring data of the designated goods in the logistics link. S13: Schedule the logistics simulation model used to provide feedback on the logistics transportation performance of the logistics link, and adjust the parameters of the logistics simulation model according to the placement of the specified goods in the logistics transportation process to obtain the logistics environment model of the specified goods. S14: Based on the logistics environment model, perform security risk analysis on the monitoring data to obtain the security monitoring characteristics of the specified goods.

[0025] Specifically, by pre-deploying monitoring units at each logistics link in the supply chain, continuous monitoring is conducted during the batch delivery of goods. This data serves as batch monitoring data for each logistics link. Since logistics links in the supply chain typically process goods in batches, continuous monitoring of batch deliveries can comprehensively cover the overall operation of that logistics link over a period of time. For example, in the goods handling process in a warehouse, continuous monitoring can record information such as handling efficiency and equipment operating status at different times, thereby obtaining relatively complete operational data for that link. Compared to monitoring each item individually, unified monitoring of a batch of goods can improve data collection efficiency, reduce the duplication of monitoring equipment setup and data collection workload, and lower monitoring costs.

[0026] More specifically, the identification codes of each item transported in each batch at each logistics stage are obtained. Based on these identification codes, the batch monitoring data is allocated to specific items to obtain monitoring data for those specific items during the logistics process. Batch monitoring data is overall data for a batch of goods. To achieve precise monitoring of specific items, the batch monitoring data needs to be allocated to each individual item based on its identification code. For example, in the transportation of a batch of electronic products, each product has a unique serial number. Using this serial number, monitoring data such as temperature and humidity during transportation can be accurately allocated to each product, thus clarifying the specific situation of each item in the logistics process. Different goods may have different safety requirements and risks in the supply chain. Allocating monitoring data to specific items provides an accurate data foundation for subsequent personalized safety analysis of those items. For instance, some fragile items are more sensitive to vibration and collisions during transportation. By allocating monitoring data to these items, it is possible to specifically analyze whether their vibration during transportation meets safety standards.

[0027] More specifically, a logistics simulation model is used to provide feedback on the logistics transportation performance of the logistics links. The parameters of the logistics simulation model are adjusted according to the placement of the specified goods during the logistics transportation process to obtain a logistics environment model for the specified goods. During logistics transportation, the placement of goods significantly impacts their surrounding logistics environment. For example, the stacking method and placement position of goods may affect their stress and ventilation. By adjusting the parameters of the logistics simulation model based on the placement of goods, the model can more accurately reflect the actual logistics environment of the specified goods. The logistics environment model can provide feedback on the transportation performance of the logistics links. After adjustments based on the actual situation of the specified goods, it can provide more accurate environmental background information for subsequent safety risk analysis. For example, in container transportation, goods in different positions experience different degrees of bumps and compression. By adjusting the model parameters, the actual physical environment faced by the specified goods can be simulated more accurately, thereby improving the accuracy of risk analysis.

[0028] More specifically, by performing security risk analysis on the monitoring data based on the logistics environment model, the security monitoring characteristics of the specified goods can be obtained. This analysis, which comprehensively considers the logistics environment and actual operational data of the goods, identifies potential security risks during the logistics process. For example, by analyzing monitoring data such as temperature, humidity, and vibration during transportation, combined with the logistics environment model, it can be determined whether the goods are at risk of dampness or damage. Once the security monitoring characteristics of the specified goods are obtained, it can provide decision-making support for supply chain managers. For instance, if a high security risk is found in a particular item, managers can take timely measures, such as adjusting the transportation route or strengthening packaging, to ensure the safe transportation of the goods.

[0029] In one embodiment, before deploying monitoring units at each logistics link of the supply chain, the transportation tasks to be undertaken by each logistics link of the supply chain are obtained, and the cargo transportation safety monitoring requirements of each logistics link are analyzed based on the transportation tasks to obtain a monitoring deployment plan for each logistics link, so as to deploy monitoring units at each logistics link according to the monitoring deployment plan.

[0030] Specifically, detailed information on the transportation tasks required for each logistics link in the supply chain should be collected. This includes, but is not limited to, the type and quantity of goods being transported, transportation distance, transportation time requirements, transportation mode (such as road transport, rail transport, air transport, water transport, etc.), and the special attributes of the goods (such as perishable, flammable, fragile, etc.). Transportation tasks are the core business content of the logistics links. Obtaining this information allows for a comprehensive understanding of the working characteristics and requirements of each logistics link. Different transportation tasks may have significantly different requirements for cargo safety monitoring. For example, transporting perishable food requires close monitoring of temperature and humidity, while transporting valuables focuses more on theft prevention and damage prevention. Accurate transportation task information is the foundation for analyzing cargo transportation safety monitoring requirements. Only by understanding the specific transportation tasks can we analyze the potential safety risks and parameters that need to be monitored in each logistics link in a targeted manner.

[0031] More specifically, based on the acquired transportation task information, an in-depth analysis of the cargo transportation safety monitoring requirements for each logistics link is conducted, specifically from the following aspects: Environmental factors: Considering the natural environmental factors that may be encountered during transportation, such as the impact of temperature, humidity, light, and air pressure on the cargo, and determining whether these environmental parameters need to be monitored; Physical factors: Analyzing the physical effects that the cargo may be subjected to during transportation, such as vibration, impact, and compression, and determining whether these physical quantities need to be monitored; Safety risks: Identifying potential safety risks in each logistics link, such as theft, damage, and loss, and assessing whether corresponding monitoring measures are needed to prevent these risks; Compliance requirements: Considering the requirements of industry standards, laws and regulations for cargo transportation safety, and determining the indicators and parameters that must be monitored.

[0032] More specifically, by analyzing environmental factors, physical factors, safety risks, and compliance requirements, we can accurately identify various safety risks that may be encountered in each logistics link during the transportation of goods. For example, transporting certain chemicals in a high-temperature environment can cause changes in their properties. Through analysis, we can determine that temperature is a key parameter that needs to be monitored. Based on the analysis results, we can clarify the monitoring indicators and parameters required for each logistics link, avoid over-monitoring or under-monitoring, and rationally allocate monitoring resources. This can ensure the safety of goods transportation while reducing monitoring costs.

[0033] More specifically, based on the analysis of the safety monitoring needs for cargo transportation in each logistics link, a detailed monitoring deployment plan should be developed. This plan should include the following: determining the appropriate monitoring unit types for each logistics link, such as temperature sensors, humidity sensors, vibration sensors, cameras, access control systems, etc.; specifying the specific installation location of each monitoring unit to ensure accurate monitoring of key environmental parameters, physical quantities, or safety risk points; specifying the data collection frequency for each monitoring unit; and determining the appropriate collection interval based on the characteristics of the cargo and the degree of risk during transportation.

[0034] More specifically, the monitoring deployment plan provides clear guidance for the installation and use of monitoring units, including the type of monitoring unit, installation location, monitoring frequency, and data transmission method. This helps to ensure the standardization and normalization of the monitoring system and improve monitoring effectiveness. During the plan development process, the compatibility between different monitoring units and the integration with existing logistics information systems can be considered to avoid problems such as equipment incompatibility or data sharing difficulties.

[0035] More specifically, according to the established monitoring deployment plan, the actual installation and debugging of monitoring units are carried out in each logistics link. During the deployment process, it is necessary to ensure that the monitoring units are firmly installed, accurately positioned, and that data transmission is normal. Necessary tests and verifications are also conducted to ensure the normal operation of the monitoring system. The monitoring deployment plan is implemented, and the actual installation and debugging of monitoring units enable the monitoring system to operate normally, achieving real-time monitoring of the safety of goods transportation in each logistics link. Testing and verification during the deployment process can promptly identify and adjust any problems in the plan, ensuring the reliability and effectiveness of the monitoring system.

[0036] In one embodiment, the monitoring units deployed in various logistics links of the supply chain include fixed-configuration and movable-configuration monitoring units. The movable-configuration monitoring units are used to exchange between various logistics links to combine with the fixed-configuration monitoring units to perform monitoring work. By comparing and analyzing the monitoring data obtained from the combined work of each movable-configuration monitoring unit and the fixed-configuration monitoring units in each logistics link, the health status of each monitoring unit is determined.

[0037] Specifically, in each logistics link of the supply chain, fixed monitoring units are installed according to a pre-established monitoring deployment plan. These monitoring units are usually installed in specific locations to continuously monitor fixed areas or equipment in that logistics link. At the same time, movable monitoring units are also provided, which can be moved and exchanged between different logistics links.

[0038] More specifically, fixed-position monitoring units can continuously monitor fixed locations and key areas in the logistics process, ensuring real-time understanding of the basic operation of that process. Meanwhile, movable-position monitoring units can be exchanged between different logistics links as goods move, compensating for the shortcomings of fixed monitoring units in certain dynamic scenarios and achieving more comprehensive monitoring of the entire goods process. The coexistence of these two different types of monitoring units provides a basis for subsequent data comparison and analysis, allowing the health status of the equipment to be determined by comparing the data they collect.

[0039] More specifically, during the transportation of goods, the movable monitoring unit is exchanged between various logistics links along with the goods. When the movable monitoring unit arrives at a new logistics link, it combines with the fixed monitoring unit of that link to perform monitoring work. Both types of monitoring units simultaneously collect data on the same or related monitoring objects (such as the status of goods, environmental parameters, etc.).

[0040] More specifically, the movable monitoring unit moves with the goods through various logistics links, enabling real-time monitoring of the goods' status changes throughout the transportation process and timely detection of potential problems. When combined with a fixed monitoring unit, it can monitor the goods and logistics environment from different angles, improving the accuracy and reliability of monitoring. The exchange of movable monitoring units in different logistics links allows them to work collaboratively with fixed monitoring units in various working scenarios, providing a more comprehensive test of the monitoring unit's performance under different environments and conditions.

[0041] More specifically, fixed and movable monitoring units transmit the collected monitoring data to the monitoring center or data storage system, respectively. This data includes, but is not limited to, physical quantities such as temperature, humidity, vibration, and displacement, as well as information such as images and videos of the goods. The monitoring data serves as the basis for judging the health status of the monitoring unit equipment. By collecting data from both fixed and movable monitoring units, a wealth of information can be obtained, providing sufficient data support for subsequent data comparison and analysis. Storing and managing the monitoring data and establishing data archives helps to track and analyze the long-term performance of the monitoring units and provides historical data references for equipment maintenance and upgrades.

[0042] More specifically, the monitoring data obtained by combining the monitoring units of various movable configurations with the monitoring units of various logistics links are compared and analyzed. The specific methods include: calculating the difference or deviation rate of the data collected by the two monitoring units in the same time period, analyzing the trend of data change, observing whether the data changes of the two monitoring units are consistent, and using statistical analysis methods, such as mean, variance, correlation analysis, etc., to evaluate the consistency and reliability of the data of the two monitoring units.

[0043] More specifically, by comparing the data collected by the two monitoring units, differences and deviations between them can be identified. These differences are caused by factors such as equipment failure, performance degradation, and different installation locations. By analyzing these differences, potential problems can be identified in a timely manner. Statistical analysis methods can be used to evaluate the data, allowing for a more objective assessment of the consistency and reliability of the data from the two monitoring units. If the data consistency is high, it indicates that the equipment is operating stably; if the data differences are significant, further investigation is needed to resolve the problem.

[0044] More specifically, based on the results of data comparison and analysis, the health status of each monitoring unit is determined. The specific judgment rules are as follows: If the difference or deviation rate of the data collected by the two monitoring units is within a preset normal range, and the data trends are consistent, then the health status of both monitoring units is considered good. If the data difference or deviation rate exceeds the normal range, or if the data trends show significant differences, it may indicate that one or both monitoring units have equipment failure, performance degradation, or data transmission problems. Further analysis determines which monitoring unit is malfunctioning and marks it as requiring maintenance or repair.

[0045] More specifically, timely assessment of the health status of monitoring unit equipment enables the detection of equipment malfunctions or performance degradation, allowing for prompt maintenance or repair measures to ensure the normal operation of the monitoring system. This is crucial for ensuring the safety and efficiency of supply chain cargo transportation. By assessing equipment health status, monitoring units can be categorized for management. Maintenance cycles can be appropriately extended for equipment in good health, while problematic equipment can be addressed promptly, improving the efficiency and effectiveness of equipment management.

[0046] In one embodiment, when the designated goods are transferred between various logistics links, the step of having the monitoring units deployed in the logistics links involved in the transfer perform key interoperation to transmit security monitoring features between the monitoring units includes: S21: When the designated goods are handed over between various logistics links, the monitoring unit deployed in the previous logistics link and the monitoring unit deployed in the next logistics link are connected to the regional network. S22: Generate a basic key for the logistics link according to the preset key rules, and generate a specific key for the identification code of each piece of goods to be handed over according to the preset key rules; S23: Combine the basic key with the specific key into a composite key, and connect and verify the composite key of both parties through a regional network connection. When the verification result shows that the handover between the previous logistics link and the next logistics link meets the expected logistics plan, the security monitoring feature generated by the previous logistics link is transmitted to the next logistics link.

[0047] Specifically, when designated goods are handed over between various logistics links, a regional network connection is established between the monitoring units deployed in the preceding logistics link and the monitoring units deployed in the following logistics link. This involves using wireless communication technologies such as Wireless Local Area Network (WLAN), Bluetooth, and ZigBee, or wired communication technologies such as Ethernet, to ensure data transmission between the two monitoring units. The regional network connection provides a physical channel for data transmission between monitoring units. Only when an effective network connection is established can the monitoring unit in the preceding logistics link accurately and promptly transmit security monitoring characteristics to the monitoring unit in the following logistics link, ensuring smooth data transmission. At the moment of goods handover, the transmission of security monitoring characteristics needs to be completed in a timely manner so that the following logistics link can immediately grasp the security status of the goods in the previous link. The regional network connection can meet this real-time requirement and avoid the impact of data transmission delays on the handling and monitoring of goods in subsequent logistics links.

[0048] More specifically, a basic key is generated for each logistics link according to a preset key rule. This preset key rule generates a unique and representative basic key based on specific attributes of the logistics link, such as its geographical location, operating time, and logistics operation process. Similarly, according to the preset key rule, a specific key is generated for the identification code of each piece of goods to be handed over. The identification code of the goods is usually unique, which means that each piece of goods has a specific key corresponding to it. The basic key is generated based on the specific attributes of the logistics link and can represent the unique identifier and security requirements of that logistics link. Different logistics links have different security levels, operating procedures, etc. The basic key integrates this information into the key system, providing a basis for subsequent verification and ensuring that only handovers that meet the security requirements of that link can pass verification. The generation of a specific key based on the goods identification code ensures that each piece of goods has a unique corresponding key information. This allows for accurate identification and verification of designated goods during the handover process, preventing goods from being confused or mistakenly handed over, and improving the accuracy and security of goods handover.

[0049] More specifically, the generated base key is combined with a specific key to form a composite key. The combination can be achieved through simple concatenation, encryption algorithm fusion, or other methods to increase the complexity and security of the key. Combining the base key with the specific key into a composite key increases the complexity and security of the key. A single key is easily cracked, while the composite key integrates information from both the logistics process and the goods, greatly improving the security of the key and effectively preventing illegal data transmission and malicious attacks. The composite key contains key information from both the logistics process and the goods, and during the verification process, both the logistics process and the goods being handed over can be verified simultaneously to ensure the legality and accuracy of the handover.

[0050] More specifically, by connecting and verifying the composite keys of both parties, it is possible to check whether the handover between the previous and subsequent logistics links conforms to the expected logistics plan. If the verification fails, it indicates that there may be anomalies in the handover process, such as unclear origin of goods or non-compliance with regulations in the handover process. In this case, timely measures can be taken to handle the situation, ensuring the security and normal operation of the supply chain. The verification process ensures that the security monitoring features transmitted come from legitimate logistics links and designated goods, preventing the transmission of false data and guaranteeing the authenticity and reliability of the data. Through the established regional network connection, the monitoring units of the previous and subsequent logistics links connect and verify the composite keys of both parties. The verification process includes checking whether the key format, length, encryption information, etc. conform to preset rules, and comparing whether the keys of both parties match.

[0051] More specifically, if the verification results show that the handover between the previous and subsequent logistics links conforms to the expected logistics plan (i.e., the composite key verification is successful), then the previous logistics link transmits its generated security monitoring features to the subsequent logistics link via a regional network connection. Once the composite key verification is successful, the security monitoring features generated by the previous logistics link are transmitted to the subsequent logistics link, achieving seamless connection of security information for goods between different logistics links. The subsequent logistics link can continue to monitor and manage the goods based on the received security monitoring features, ensuring the safety of goods throughout the entire supply chain. The security monitoring features contain information on the security status of the goods in previous logistics links. The subsequent logistics link can use this information to promptly identify potential security issues and take corresponding measures to address them. At the same time, this information also provides decision support for supply chain managers, helping to optimize logistics processes and improve the overall efficiency of the supply chain.

[0052] In one embodiment, the key docking process also includes having staff from the preceding and following logistics links use designated smart terminals to send handover instructions to the monitoring units of the preceding and following logistics links to begin the key docking work. At the same time, the smart terminals of the preceding and following logistics links collect real-time environmental information of the handover area and convert the obtained real-time environmental information into evolution factors in the basic key generation process, so that the basic keys of the preceding and following logistics links have the verification function of the handover area.

[0053] Specifically, staff from the preceding and following logistics links arrive at the goods handover site carrying designated smart terminals. The staff need to confirm that the smart terminals have sufficient power, a normal network connection, and that the relevant applications on the smart terminals have been correctly installed and configured. The staff confirm the basic information of the goods handover, including the type, quantity, identification code, and logistics links of the goods, to ensure the accuracy of the handover.

[0054] More specifically, staff members carry smart terminals and perform necessary preparations to ensure that the smart terminals can operate normally, providing a reliable equipment foundation for subsequent operations. Confirmation of goods handover information can avoid handover errors caused by human negligence, improving the accuracy and efficiency of the handover work. Staff members participate in the handover process, clarifying their respective responsibilities, making the handover work more standardized and orderly. In case of problems, responsibility can be clearly traced, facilitating timely handling and resolution of issues.

[0055] More specifically, staff in the preceding and following logistics links use designated smart terminals to send handover instructions to the monitoring units of the preceding and following logistics links through specific operations (such as clicking the "Start Handover" button in the application). After receiving the handover instructions, the monitoring units begin to execute key docking, including establishing a regional network connection and preparing to generate and verify composite keys. The handover instructions are the key signal to start the key docking process. By having staff manually send the instructions, it can be ensured that the key docking process starts at the appropriate time, avoiding possible misoperation or security risks caused by automatic start. The participation of staff introduces a manual intervention mechanism, which increases the security of the handover process. In certain special circumstances, staff can decide whether to start the handover process based on the actual situation to avoid illegal handover caused by system failure or malicious attacks.

[0056] More specifically, while sending the handover instruction, the intelligent terminals in the preceding and following logistics links use their equipped sensors (such as temperature sensors, humidity sensors, light sensors, cameras, etc.) to collect real-time environmental information of the handover area. The collected information includes, but is not limited to, the temperature, humidity, light intensity, and surrounding environmental images or videos of the handover area. The real-time environmental information of the handover area can reflect the actual conditions of the area. For example, excessively high temperatures may affect the quality of certain goods, and excessively strong light may damage the appearance of goods. Collecting this information can promptly identify potential security risks and provide a basis for subsequent processing. Environmental information is real-time and unique. Using it as an evolutionary factor in the generation of the basic key can make the basic key more complex and diverse, increasing the uniqueness and security of the key and effectively preventing the key from being cracked or forged.

[0057] More specifically, the smart terminal processes and analyzes the collected real-time environmental information, and converts this environmental information into evolutionary factors in the basic key generation process according to a preset algorithm. For example, the temperature value is mapped to a specific value as a parameter in the basic key generation algorithm. These evolutionary factors are incorporated into the basic key generation process, so that the basic key not only contains the inherent attribute information of the logistics link, but also the environmental feature information of the handover area.

[0058] More specifically, environmental information is transformed into evolutionary factors in the basic key generation process, enabling the basic key to reflect the environmental characteristics of the handover area. This allows for verification of the handover area's environmental information during key docking verification, ensuring the handover is conducted under compliant environmental conditions. By introducing environmental evolutionary factors, the basic key is no longer static but changes with the handover area's environment. This dynamism further enhances key security, making the key more difficult to predict and crack.

[0059] More specifically, the monitoring units of the preceding and following logistics links generate a composite key based on a newly generated base key containing environmental evolution factors, combined with a specific key for the goods. The two monitoring units connect and verify this composite key via a regional network. During verification, in addition to checking basic information such as key format and length, the consistency of the handover area environmental information contained in the base key is also verified. If verification passes, key connection is complete, and the preceding logistics link can transmit security monitoring features to the following logistics link. By connecting and verifying the composite key containing environmental evolution factors, a comprehensive check can be performed to ensure the handover process meets the expected logistics plan and environmental requirements. If verification fails, it indicates potential anomalies in the handover process, such as environmental conditions not meeting goods requirements or key tampering. In such cases, timely measures can be taken to address the issue, ensuring the security and normal operation of the supply chain. Only after successful key connection verification will the preceding logistics link transmit security monitoring features to the following logistics link, ensuring the security and reliability of data transmission. Simultaneously, environmental information verification prevents data transmission in insecure environments, avoiding the risk of data leakage or damage.

[0060] In one embodiment, when the designated goods arrive at the final logistics stage, the steps of compressing the security monitoring features of each logistics stage that have been cumulatively transmitted, generating full-process monitoring information for the designated goods, and storing it in the supply chain database include: S31: When the designated goods arrive at the final logistics link, the security monitoring characteristics of each logistics link in the supply chain corresponding to the designated goods are cumulatively transmitted to the final logistics link. S32: The safety monitoring characteristics of the specified goods corresponding to each logistics link accumulated in the final logistics link are continuously combined to obtain the safety monitoring sequence of the specified goods. S33: Based on the safety monitoring sequence of each item transported in a batch at the end of the logistics process, perform a difference analysis on the safety monitoring sequence of the specified goods to obtain safety difference information of the specified goods in the same batch of transported goods; S34: Analyze the security difference information according to preset standards to obtain the difference level to which the security monitoring sequence of the specified goods belongs; S35: If the difference level is the first level, the most representative safety monitoring sequence is selected from each item transported in the batch and converted into standard monitoring information. The standard monitoring information is stored in the supply chain database and information code is generated for the standard monitoring information. Feature coding is performed on the safety difference information to generate difference code. The difference code is combined with the information code to obtain the full-process monitoring information of the specified goods. S36: If the difference level is the second level, then the security monitoring sequence is independently feature-encoded to obtain full-process monitoring information for the specified goods.

[0061] Specifically, when designated goods arrive at the final logistics stage, the security monitoring characteristics of each logistics stage in the corresponding supply chain are cumulatively transmitted to the final logistics stage. During the transportation of goods, each logistics stage monitors the safety status of the goods and generates corresponding security monitoring characteristics. These characteristics are gradually transmitted to the next stage as the goods move, and are finally accumulated at the final stage. The security monitoring characteristics of each logistics stage are distributed in different stages. By accumulating them at the final stage, complete security information about the designated goods throughout the entire supply chain transportation process can be collected. This helps to comprehensively assess the safety status of the goods, avoid erroneous judgments caused by missing information, and concentrate all characteristics at the final stage to facilitate subsequent unified processing operations such as combination, analysis, and storage, thereby improving the efficiency and accuracy of data processing.

[0062] More specifically, the safety monitoring characteristics of designated goods accumulated at the end of the logistics chain are continuously combined to obtain a safety monitoring sequence for the designated goods. According to the order of the logistics links the goods pass through in the supply chain, the safety monitoring characteristics of each link are arranged in sequence to form a complete sequence that reflects the safety status of the goods throughout the entire process. The continuous safety monitoring sequence can intuitively show the change process of the safety status of the designated goods in the entire supply chain. From the initial logistics link to the final end link, the safety status of the goods at different stages can be clearly seen through this sequence, which helps to discover potential safety problems and patterns. After the safety monitoring sequence is formed, it is convenient to compare and analyze it with the sequences of other goods in the same batch. It is also beneficial to make longitudinal comparisons of the safety status of the goods in different batches of transportation, providing a basis for subsequent difference analysis.

[0063] More specifically, based on the safety monitoring sequences of each item transported in batches at the end of the logistics chain, a difference analysis is performed on the safety monitoring sequences of designated goods to obtain safety difference information of designated goods within the same batch. By comparing the safety monitoring sequences of designated goods with those of other goods in the same batch, the differences between the two are calculated, such as differences in data values ​​and different trends. Although goods transported in the same batch are similar in overall transportation conditions, due to various factors such as the characteristics of the goods themselves and their packaging, their safety status during transportation varies. Through difference analysis, the differences in safety between designated goods and other goods in the same batch can be identified, providing a basis for subsequent classification and processing. If the safety difference information of designated goods is large, it means that the goods have encountered special circumstances or have potential safety risks during transportation. Timely detection of these anomalies helps to take targeted measures to ensure the safety of the goods.

[0064] More specifically, by analyzing security discrepancy information according to preset standards, the discrepancy level to which the security monitoring sequence of a specified cargo belongs can be determined. The preset standards can be formulated based on experience, historical data, or industry norms. The security discrepancy information is compared with these standards to determine the discrepancy level of the specified cargo, for example, dividing it into first level and second level. By classifying the security discrepancy information according to the preset standards, cargo can be classified according to the degree of security discrepancy. Different levels of cargo require different handling methods and levels of attention, which can improve the efficiency and targeting of supply chain management. The discrepancy level provides a decision-making basis for subsequent information processing and storage methods. Different levels correspond to different information generation and storage strategies, which can better meet the needs of supply chain databases for data management and utilization.

[0065] More specifically, if the difference level is Level 1, it means that the safety status of the specified goods is similar to that of other goods in the same batch. In this case, the most representative safety monitoring sequence is selected from each item transported in the batch and converted into standard monitoring information. The standard monitoring information is stored in the supply chain database and information codes are generated for the standard monitoring information. At the same time, feature coding is performed on the safety difference information to generate difference codes. The difference codes and information codes are combined to obtain the full-process monitoring information of the specified goods.

[0066] More specifically, for goods with a difference level of Level 1, whose safety status is similar to other goods in the same batch, selecting the most representative safety monitoring sequence to generate standard monitoring information and storing it can reduce data redundancy and improve the storage efficiency of the database. Combining difference coding with information coding not only preserves standard information but also records the special differences of the goods, making it convenient to conduct detailed queries and analyses when needed, without increasing the storage burden too much.

[0067] More specifically, if the difference level is level two, it indicates that the safety status of the specified goods differs significantly from other goods in the same batch. In this case, the safety monitoring sequence is independently coded to obtain the full-process monitoring information of the specified goods. When the difference level is level two, it means that the safety status of the goods differs significantly from other goods in the same batch and is unique. Independently coding the safety monitoring sequence can completely record the full-process safety information of the goods, ensuring that no important safety features are missed, and providing accurate data support for subsequent in-depth analysis and processing.

[0068] In one embodiment, such as Figure 2 As shown, a supply chain security monitoring system is provided to implement the supply chain security monitoring method described in any one of the first aspects, comprising: The data monitoring module is used to acquire monitoring data of each logistics link in the supply chain when transporting designated goods, and to analyze the monitoring data to obtain the safety monitoring characteristics of the designated goods in each logistics link. The data handover module is used to enable the monitoring units deployed in the logistics links involved in the handover to perform key docking when the specified goods are handed over between various logistics links, so as to transmit security monitoring features between the monitoring units. The information storage module is used to compress the security monitoring features of each logistics link that have been cumulatively transmitted when the specified goods arrive at the final logistics link, generate full-process monitoring information for the specified goods, and store it in the supply chain database.

[0069] In this embodiment, the specific implementation of each module in the above system embodiment is described in the above method embodiment, and will not be repeated here.

[0070] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data shall comply with the relevant laws, regulations and standards of the relevant countries and regions.

[0071] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0072] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0073] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A security monitoring method of a supply chain, characterized by, The method comprises the following steps: obtaining monitoring data of each logistics link of a supply chain when transporting a specified cargo, and analyzing the monitoring data to obtain safety monitoring features of the specified cargo at each logistics link; when the specified cargo is handed over between logistics links, the monitoring units deployed in the logistics links participating in the handover are interfaced with keys to transmit safety monitoring features between the monitoring units; when the specified cargo arrives at the terminal logistics link, the safety monitoring features of each logistics link transmitted cumulatively are compressed to generate whole-process monitoring information of the specified cargo, and the whole-process monitoring information is stored in a supply chain database.

2. The security monitoring method of a supply chain according to claim 1, wherein, The step of obtaining monitoring data of each logistics link of a supply chain when transporting a specified cargo, and analyzing the monitoring data to obtain safety monitoring features of the specified cargo at each logistics link comprises: continuously monitoring the logistics links when transporting batch cargos by the monitoring units pre-deployed in the logistics links of the supply chain, so as to obtain batch monitoring data of the logistics links; obtaining identification codes of each cargo transported in batches by each logistics link, so as to distribute the batch monitoring data to the specified cargo according to the identification codes, to obtain monitoring data of the specified cargo at the logistics link; scheduling a logistics simulation model for feeding back logistics transportation performance of the logistics link, and adjusting parameters of the logistics simulation model according to a placement form of the specified cargo in the logistics transportation process, to obtain a logistics environment model of the specified cargo; based on the logistics environment model, performing safety risk analysis on the monitoring data to obtain safety monitoring features of the specified cargo.

3. The security monitoring method of a supply chain according to claim 2, wherein, Before deploying the monitoring units in each logistics link of the supply chain, obtaining transportation tasks required to be undertaken by each logistics link of the supply chain, and analyzing cargo transportation safety monitoring requirements of each logistics link according to the transportation tasks, to obtain a monitoring deployment scheme of each logistics link, so as to deploy the monitoring units in each logistics link according to the monitoring deployment scheme.

4. The security monitoring method of a supply chain according to claim 1, wherein, The monitoring units deployed in each logistics link of the supply chain comprise fixed setting form monitoring units and movable setting form monitoring units, the movable setting form monitoring units are used to be exchanged between the logistics links to combine with the fixed setting form monitoring units to perform monitoring work, and the equipment health states of the monitoring units are judged by comparing and analyzing monitoring data obtained by the combination of each movable setting form monitoring unit and each fixed setting form monitoring unit of the logistics link.

5. The security monitoring method of a supply chain according to claim 1, wherein, When the specified cargo is handed over between logistics links, the monitoring units deployed in the logistics links participating in the handover are interfaced with keys to transmit safety monitoring features between the monitoring units, and the step comprises: when the specified cargo is handed over between logistics links, the monitoring unit deployed in a previous logistics link participating in the handover is connected with the monitoring unit deployed in a next logistics link by a regional network; generating a basic key for the logistics link according to a preset key rule, and generating a specific key for the identification code of each cargo preliminarily participating in the handover according to the preset key rule; The base key is combined with the specific key as a composite key, and the composite keys of both parties are connected and verified through a regional network connection. When the verification result shows that the handover of the previous logistics link and the next logistics link meets the expected logistics plan, the security monitoring feature generated by the previous logistics link is transmitted to the next logistics link.

6. The security monitoring method of a supply chain according to claim 5, wherein, In the process of performing key docking, the handover instruction is sent to the monitoring unit of the previous logistics link and the next logistics link by the staff of the previous logistics link and the next logistics link using the specified intelligent terminal, so as to start performing key docking work. At the same time, the intelligent terminal of the previous logistics link and the next logistics link collects real-time environmental information of the handover area, and converts the obtained real-time environmental information into evolution factors in the base key generation process, so that the base keys of the previous logistics link and the next logistics link have the verification function of the handover area.

7. The security monitoring method of a supply chain according to claim 1, wherein, When the specified goods arrive at the terminal logistics link, the safety monitoring features of each logistics link accumulated during transmission are compressed to generate whole-process monitoring information corresponding to the specified goods, and the whole-process monitoring information is stored in the supply chain database. When the specified goods arrive at the terminal logistics link, the safety monitoring features of each logistics link of the specified goods corresponding to the supply chain are accumulated and transmitted to the terminal logistics link. The safety monitoring features of each logistics link of the specified goods accumulated by the terminal logistics link are continuously combined to obtain the safety monitoring sequence of the specified goods. Based on the safety monitoring sequences of each goods in the same batch of goods transported by the terminal logistics link, the safety monitoring sequence of the specified goods is analyzed for difference to obtain safety difference information of the specified goods in the same batch of goods. According to the preset standard, the safety difference information is analyzed to obtain the difference level to which the safety monitoring sequence of the specified goods belongs. If the difference level is the first level, the most representative safety monitoring sequence is selected from each goods in the batch of goods to generate standard monitoring information, the standard monitoring information is stored in the supply chain database, and information coding is generated for the standard monitoring information. The safety difference information is encoded to generate difference coding, and the difference coding and the information coding are combined to obtain the whole-process monitoring information of the specified goods. If the difference level is the second level, the safety monitoring sequence is independently encoded to obtain the whole-process monitoring information of the specified goods.

8. A security monitoring system of a supply chain, characterized by, A safety monitoring method for a supply chain as claimed in any one of claims 1-7, comprising: A data monitoring module for obtaining monitoring data of each logistics link of the supply chain when transporting the specified goods, and analyzing the safety monitoring features of the specified goods at each logistics link based on the monitoring data; A data handover module for causing the monitoring units deployed in the logistics links participating in the handover to perform key docking when the specified goods are handed over between the logistics links, so as to transmit the safety monitoring features between the monitoring units. An information storage module is configured to compress information of safety monitoring features of each logistics link in cumulative transmission when the designated goods arrive at the terminal logistics link, generate whole-process monitoring information corresponding to the designated goods, and store the whole-process monitoring information into the supply chain database.

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