A method for managing export cargo status information based on blockchain

Abstract

The present invention discloses a method for managing the status information of exported goods based on blockchain, which relates to the technical field of goods status management, and includes the following steps: building an export goods management platform based on blockchain technology, and establishing a connection between the tag recognition technology and the export goods; combining the tag recognition technology with the location information technology, building a goods tracing system, and positioning and tracking the goods; monitoring and early warning the use of the goods tracing system, and monitoring the location and status information of the goods in real time; integrating the location and status information of the export goods, and transmitting it to the export goods management platform for storage through encryption technology; the demander logs in to the export goods management platform to query the goods status information according to its own needs. The present invention first builds a goods status information management platform based on blockchain technology to ensure that the data in the platform cannot be tampered with, and timely understands the dynamics of the goods, which can effectively improve the efficiency and transparency of export goods management.

Description

Technical Field

[0001] The present invention relates to the technical field of cargo status management, and in particular to a method for managing export cargo status information based on blockchain. Background Art

[0002] Export goods refer to the act of enterprises or individuals selling domestically produced goods abroad. Export enterprises need to go through customs clearance procedures, obtain export licenses, and choose the right export method, which is equally important to save transportation costs and time. Export goods will go through different states in the entire process from factory production to final delivery to customers in the destination country. From factory production and passing quality inspection to packaging and boxing for shipment according to order requirements, the process involves different states.

[0003] During the transportation process, the status information of the goods needs to be managed so that the dynamics of the goods flow can be grasped and the status of the goods can be tracked. This allows export companies to grasp the flow process of goods in a timely manner, thereby improving work efficiency and taking timely response measures. At the same time, status information can help companies discover possible problems that may arise during the flow of goods, take corrective measures early, and minimize losses. Therefore, status information management is an important measure for export companies to improve efficiency, satisfy customers, and reduce risks.

[0004] However, the existing management of export goods information is unable to effectively trace and warn export goods. Once the goods are lost or damaged during transportation, they cannot be replaced, the status of the goods cannot be grasped in real time, and the problem cannot be quickly identified and the expansion of losses cannot be controlled.

[0005] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0006] In response to the problems in the related technology, the present invention proposes a blockchain-based export cargo status information management method to overcome the above-mentioned technical problems existing in the existing related technology.

[0007] To this end, the specific technical solution adopted by the present invention is as follows:

[0008] A method for managing export cargo status information based on blockchain, the method comprising the following steps:

[0009] S1. Build an export goods management platform based on blockchain technology and establish a connection between mark identification technology and export goods;

[0010] S2. Combine tag recognition technology with location information technology to build a cargo tracing system to locate and track cargo;

[0011] S3. Monitor and warn the use of the cargo traceability system, and monitor the location and status of the cargo in real time;

[0012] S4. Integrate the location and status information of the export goods and transmit it to the export goods management platform for storage through encryption technology;

[0013] S5. The demander logs in to the export cargo management platform to query cargo status information according to its own needs.

[0014] Furthermore, the construction of the export goods management platform based on blockchain technology and the establishment of a connection between the marking recognition technology and the export goods include the following steps:

[0015] S11. Design the platform framework using blockchain technology, and use smart contracts for node consensus and process setting to complete the initial construction of the platform;

[0016] S12. Use IPFS to design the on-chain and off-chain storage function of the later status information, and connect it with the export cargo management platform to complete the construction;

[0017] S13, transporting the export goods into containers, numbering the containers, and generating container and export goods block codes respectively according to rules;

[0018] S14. Connecting with the container through radio frequency identification technology to identify and store the container and export cargo block code information.

[0019] Furthermore, the combination of the tag recognition technology and the location information technology to construct a cargo tracing system to locate and track the cargo includes the following steps:

[0020] S21. Use radio frequency identification technology and global positioning system to collect the transportation data of export goods, and use the transportation data as the perception layer in the process of building the cargo traceability system;

[0021] S22. Use GPRS and network technology to build a network layer for transport data access, transmission and communication, and to trace and share export cargo transport data;

[0022] S23. Design the application layer to process and control the transportation data, and connect the application layer with the export cargo management platform;

[0023] S24. The perception layer, network layer and application layer are integrated to complete the construction of the cargo traceability system, and the cargo is located and tracked through the cargo traceability system.

[0024] Furthermore, the monitoring and early warning of the use of the cargo tracing system and real-time monitoring of the location and status information of the cargo include the following steps:

[0025] S31. Using data collection to set up a network protocol, transmit the transportation data in the cargo tracing system, and normalize and clean the transportation data;

[0026] S32, setting a data storage structure according to a distributed computing method, and performing a multi-dimensional adjustment operation on the processed transportation data through a distributed search process of the system for data storage;

[0027] S33, the transport data after transmission and processing is processed through the situation awareness platform for security situation processing, to obtain the perception results, and to perform data fusion according to the situation awareness results;

[0028] S34. Use the integrated data to track the safety signals of the cargo traceability system, determine the safety range, and establish a correlation matrix to analyze the changes in the safety signal index;

[0029] S35. Locate the cargo position deviation area according to the index change and issue a cargo position and status information warning.

[0030] Furthermore, the transportation data after being transmitted and processed by the situation awareness platform is processed for security situation to obtain a perception result, and data fusion is performed according to the situation awareness result, including the following steps:

[0031] S331, performing a situation understanding operation based on the transportation data, and using a judgment mode of network association analysis to perform situation security understanding on the security dimensions of the transportation data, wherein the security dimensions include cargo integrity, cargo transportation path, cargo status information, and cargo location;

[0032] S332, performing centralized abnormal area detection processing on the cargo location and status information in the transportation data to determine whether there is an abnormal state. If an abnormal state is found, proceed to the next step. If no abnormal state is found, repeat step S331;

[0033] S333, locate the area where the abnormal state is located, mark the abnormal state, and associate it with the attack chain related to the export cargo transportation to transmit the abnormal information situation understanding signal, and generate the abnormal reference standard;

[0034] S334, constructing an association relationship between an abnormal reference standard and an abnormal state, and determining whether the abnormal reference standard is deviation information according to a situation understanding behavior to obtain a perception result, wherein the situation understanding behavior includes an expected path and an expected position of the cargo;

[0035] S335: Present the situation of the perception results and perform data fusion on the perception results.

[0036] Furthermore, the presenting of the situation of the perception results and the data fusion of the perception results include the following steps:

[0037] S3351. Use the perception system to visualize the transportation data and collect abnormal conditions into the visualization space to obtain a visualization view;

[0038] S3352, presenting the perception results in a visualization view and dividing different situation presentation intervals according to the dimensional presentation form of the data;

[0039] S3353, after the above steps are completed, the abnormal status of the transportation data is integrated, and different transportation data monitoring areas are divided by gridding, and the divided monitoring areas are subjected to data coding processing;

[0040] S3354. Integrate the transportation data in different time periods to establish a relationship model between abnormal status and transportation data;

[0041] S3355. The perceived situation information is used as the initial condition for fusion according to the divided areas, and data association processing is performed on the cargo transportation information.

[0042] Furthermore, the method of using the integrated data to track the safety signal of the cargo traceability system, determining the safety range, and establishing a correlation matrix to analyze the change of the safety signal index includes the following steps:

[0043] S341. Track and select signals for the traceability system based on the integrated data, and select the data with the highest intensity among the signals as the safety signal for tracking;

[0044] S342, sending a tracking instruction according to the safety signal transmission path, marking the data location of the real-time monitoring safety signal, and determining the safety range;

[0045] S343, setting a security risk index according to the security range and converting it into a signal filter, controlling the signal filter emission range to be within the tracking interval, and matching the association mining rules;

[0046] S344, extracting the required tracking signal by using a mining algorithm, and entering the signal position coordinates of the tracking signal fed back by the tracking system, and displaying the information of the tracking signal by using a visualization interface;

[0047] S345. The conditional probability density in the transportation data is used as a probability indicator of abnormal fault information, signal indexes are collected after the spatial structure is adjusted, and warning levels are set according to different signal indexes.

[0048] Furthermore, the step of integrating the location and status information of the export goods and transmitting the information to the export goods management platform for storage by encryption technology includes the following steps:

[0049] S41. Store the location and status information of exported goods off-chain based on IPFS, and store IPFS data fingerprints on-chain;

[0050] S42. Use re-encryption combined with secure multi-party computing to perform multi-node secure data sharing;

[0051] S43, integrating the location and status information data of the exported goods through a fully homomorphic encryption algorithm;

[0052] S44. Generate a public key through IPFS, and send the public key to the export goods management platform, which generates a private key based on the public key;

[0053] S45. The export cargo management platform generates a transmission request and encrypts the transmission request data using a private key to form encrypted transmission data;

[0054] S46. The export cargo management platform sends an encrypted transmission data request including a timestamp to IPFS;

[0055] S47, IPFS processes the request, and finally the export cargo management platform receives the data for storage.

[0056] Furthermore, the integration of the location and status information data of the export goods by means of a fully homomorphic encryption algorithm comprises the following steps:

[0057] S431. Encrypt the obtained location and status information data of the export goods using a fully homomorphic encryption technology to generate ciphertext data, and generate a random number to obtain a polynomial;

[0058] The calculation formula of the polynomial is:

[0059] f(x)=s+a1x+a2x 2 +…+a k-1 x k-1

[0060] In the formula, s represents the number of ciphertexts, a represents a random number, and k represents the number of random numbers;

[0061] S432. Obtain ciphertext segments using Lagrange interpolation method, and reconstruct the ciphertext to obtain integrated data.

[0062] Furthermore, the IPFS processes the request, and finally the export cargo management platform receives the data for storage, including the following steps:

[0063] S471, IPFS receives the encrypted transmission data request with a timestamp, and decrypts it according to the public key and the timestamp to obtain the plaintext data;

[0064] S472. After the decryption is completed, IPFS generates the same private key as the export goods management platform, and IPFS decrypts the encrypted transmission data request with the timestamp through the private key;

[0065] S473. After the decryption is completed, a data transmission request from the export goods management platform is received, and the data is transmitted to the export goods management platform.

[0066] The beneficial effects of the present invention are:

[0067] 1. The present invention first establishes a connection between export goods and mark identification technology, and builds a goods traceability system in combination with location information technology to realize the positioning and tracking of goods, so as to facilitate the understanding of the specific location of the goods. At the same time, the traceability system is monitored and warned, and the location and status information of the goods can be monitored in real time to check whether the goods are deviated and dropped. At the same time, the status information data can be sent to the export goods management platform, so as to facilitate the demand side to retrieve the location of the export goods on demand, thereby ensuring the stability of the goods during transportation.

[0068] 2. The blockchain-based export cargo status information management method of the present invention first builds a cargo status information management platform based on blockchain technology to ensure that the data in the platform cannot be tampered with. The cargo status information recorded by the platform is authentic and reliable. At the same time, the demander can query the location and status of the cargo in real time, understand the cargo dynamics in a timely manner, and make preparations in advance, which greatly improves work efficiency and can effectively improve the efficiency and transparency of export cargo management.

[0069] 3. The present invention builds a cargo tracing system, monitors and warns it, and monitors the location and status information of the cargo in real time, so as to improve the safety of the cargo. Once an abnormal situation occurs, it can respond quickly and take measures to reduce the risks of cargo damage and loss. At the same time, encryption technology is used when transmitting data to the cargo status information management platform, so that data can be prevented from being illegally stolen or tampered with during transmission and storage, thereby protecting data security, preventing data leakage within the platform, and greatly improving the overall security of the storage platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0071] Figure 1 This is a flow chart of a method for managing export cargo status information based on blockchain according to an embodiment of the present invention. DETAILED DESCRIPTION

[0072] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments. They can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in this field should be able to understand other possible implementation methods and advantages of the present invention.

[0073] According to an embodiment of the present invention, a method for managing export cargo status information based on blockchain is provided.

[0074] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to the blockchain-based export cargo status information management method of an embodiment of the present invention, the management method includes the following steps:

[0075] S1. Build an export goods management platform based on blockchain technology and establish a connection between mark identification technology and export goods.

[0076] In one embodiment, the construction of an export goods management platform based on blockchain technology and the establishment of a connection between the tag recognition technology and the export goods include the following steps:

[0077] S11. Use blockchain technology to design the platform framework, and use smart contracts for node consensus and process setting to complete the initial construction of the platform;

[0078] S12. Use IPFS to design the on-chain and off-chain storage function of the later status information, and connect it with the export cargo management platform to complete the construction.

[0079] It needs to be explained that IPFS (InterPlanetary File System, referred to as IPFS) is an interplanetary file system, a peer-to-peer distributed file system that aims to create a global persistent and distributed storage system. Its design goal is to solve the limitations of traditional location-based file systems, such as centralization, dependence on specific servers, and vulnerability to attacks.

[0080] IPFS mainly has the following main functions and features:

[0081] IPFS has no centralized server, and each node can store and transfer files. This decentralized model makes files more distributed and reliable on the network.

[0082] IPFS specifically uses the BitSwap protocol for file transfer, supports block transfer and incremental updates, thereby improving the efficiency and speed of file transfer.

[0083] IPFS allows users to choose to make files public or remain anonymous. Users can control file access permissions and sharing methods. The goal of IPFS is to provide a more decentralized, reliable and secure solution for file storage and sharing on a global scale.

[0084] S13, transporting the export goods into containers, numbering the containers, and generating container and export goods block codes respectively according to rules;

[0085] S14. Connecting with the container through radio frequency identification technology to identify and store the container and export cargo block code information.

[0086] Specifically, the steps of connecting with the container through radio frequency identification technology, identifying and storing the block code information of the container and the export cargo are as follows:

[0087] Ensure that the RFID equipment and container connection equipment are in normal working condition and the block code information of the export goods is ready;

[0088] Place the RFID device close to the container and use RF signals to communicate with the RFID tag on the container. The device will read the block code information stored in the RFID tag on the container.

[0089] Parse the block code information read from the RFID tag through a corresponding parsing algorithm to obtain detailed information about the container and the export goods, including the container number, size, weight, etc., as well as the relevant identification and attributes of the export goods;

[0090] Store the parsed container and export cargo information in a database or other data storage system, ensure that the stored data is associated with the identified block code information, and take appropriate data security measures;

[0091] Verify the stored data to ensure the accuracy and completeness of identification and storage. Through the corresponding query interface or management system, the status and location of export goods can be queried, managed and monitored based on the container number or other key information.

[0092] S2. Combine tag recognition technology with location information technology to build a cargo traceability system to locate and track cargo.

[0093] In one embodiment, the combination of the tag recognition technology and the location information technology to construct a cargo tracing system to locate and track cargo includes the following steps:

[0094] S21. Use radio frequency identification technology and global positioning system to collect the transportation data of export goods, and use the transportation data as the perception layer in the process of building the cargo traceability system;

[0095] S22. Use GPRS and network technology to build a network layer for transport data access, transmission and communication, and to trace and share export cargo transport data.

[0096] Specifically, the steps of using GPRS and network technology to build a network layer for access, transmission and communication of export cargo transportation data, and to achieve data traceability and data sharing are as follows:

[0097] Ensure the normal working status of network equipment and GPRS communication module, and prepare relevant data of export goods, including transportation information and block code;

[0098] Establish a connection with the network through the GPRS communication module to ensure that the device can access the Internet;

[0099] Use sensors, scanners and other equipment to collect data about exported goods and convert the data into a transmittable format.

[0100] The collected data is encapsulated and transmitted to the network through the GPRS communication module. The receiving end receives the transmitted data through the network and stores the data in a database or other data storage system to ensure the security and reliability of data storage;

[0101] According to the block code and other information of the exported goods, the transportation route and related information of the exported goods can be traced by querying the database or other data sources;

[0102] S23. Design the application layer to process and control the transportation data, and connect the application layer with the export cargo management platform;

[0103] S24. The perception layer, network layer and application layer are integrated to complete the construction of the cargo traceability system, and the cargo is located and tracked through the cargo traceability system.

[0104] S3. Monitor and issue early warnings on the use of the cargo traceability system, and monitor the location and status information of the cargo in real time.

[0105] In one embodiment, the monitoring and early warning of the use of the cargo tracing system and real-time monitoring of the location and status information of the cargo include the following steps:

[0106] S31. Using data collection to set up a network protocol, transmit the transportation data in the cargo tracing system, and normalize and clean the transportation data;

[0107] S32, setting a data storage structure according to a distributed computing method, and performing a multi-dimensional adjustment operation on the processed transportation data through a distributed search process of the system for data storage;

[0108] S33. The processed transportation data is transmitted through the situation awareness platform for safety situation processing to obtain perception results, and data fusion is performed based on the situation awareness results.

[0109] The process of performing security situation processing on the transport data after being transmitted and processed by the situation awareness platform to obtain a perception result and performing data fusion according to the situation awareness result includes the following steps:

[0110] S331, performing a situation understanding operation based on the transportation data, and using a judgment mode of network association analysis to perform situation security understanding on the security dimensions of the transportation data, wherein the security dimensions include cargo integrity, cargo transportation path, cargo status information, and cargo location;

[0111] S332, performing centralized abnormal area detection processing on the cargo location and status information in the transportation data to determine whether there is an abnormal state. If an abnormal state is found, proceed to the next step. If no abnormal state is found, repeat step S331;

[0112] S333, locate the area where the abnormal state is located, mark the abnormal state, and associate it with the attack chain related to the export cargo transportation to transmit the abnormal information situation understanding signal, and generate the abnormal reference standard;

[0113] S334, constructing an association relationship between an abnormal reference standard and an abnormal state, and determining whether the abnormal reference standard is deviation information according to a situation understanding behavior to obtain a perception result, wherein the situation understanding behavior includes an expected path and an expected position of the cargo;

[0114] S335: Present the situation of the perception results and perform data fusion on the perception results.

[0115] Specifically, presenting the situation of the perception results and fusing the data of the perception results include the following steps:

[0116] S3351. Use the perception system to visualize the transportation data and collect abnormal conditions into the visualization space to obtain a visualization view;

[0117] S3352, presenting the perception results in a visualization view and dividing different situation presentation intervals according to the dimensional presentation form of the data;

[0118] S3353, after the above steps are completed, the abnormal status of the transportation data is integrated, and different transportation data monitoring areas are divided by gridding, and the divided monitoring areas are subjected to data coding processing;

[0119] S3354. Integrate the transportation data in different time periods to establish a relationship model between abnormal status and transportation data;

[0120] S3355. The perceived situation information is used as the initial condition for fusion according to the divided areas, and data association processing is performed on the cargo transportation information.

[0121] S34. Use the integrated data to track the safety signals of the cargo traceability system, determine the safety range, and establish a correlation matrix to analyze the changes in the safety signal index.

[0122] The method of using the integrated data to track the operation safety signal of the cargo traceability system, determining the safety range, and establishing a correlation matrix to analyze the change of the safety signal index includes the following steps:

[0123] S341. Track and select signals for the traceability system based on the integrated data, and select the data with the highest intensity among the signals as the safety signal for tracking;

[0124] S342, sending a tracking instruction according to the safety signal transmission path, marking the data location of the real-time monitoring safety signal, and determining the safety range;

[0125] S343, setting a security risk index according to the security range and converting it into a signal filter, controlling the signal filter emission range to be within the tracking interval, and matching the association mining rules;

[0126] S344, extracting the required tracking signal by using a mining algorithm, and entering the signal position coordinates of the tracking signal fed back by the tracking system, and displaying the information of the tracking signal by using a visualization interface;

[0127] S345. The conditional probability density in the transportation data is used as a probability indicator of abnormal fault information, signal indexes are collected after the spatial structure is adjusted, and warning levels are set according to different signal indexes.

[0128] S35. Locate the cargo position deviation area according to the index change and issue a cargo position and status information warning.

[0129] Specifically, the steps of locating the cargo position deviation area according to the index change and providing cargo position and status information warning are as follows:

[0130] Use sensors and monitoring equipment to collect data related to the location and status of goods, such as location coordinates, temperature, humidity, vibration, etc.

[0131] Processing and analyzing the collected data to calculate the index change of the cargo position, where the index change can be the distance change between the cargo position and the preset position, or the degree of deviation of the position coordinates;

[0132] According to the index change, locate the offset area of ​​the cargo position, judge whether the cargo position is offset according to the preset threshold or rule, and determine the offset area range;

[0133] When the area where the cargo position is offset exceeds a preset threshold, the early warning mechanism is triggered, and an early warning is issued by sending alarm information, triggering sound and light alarm equipment, etc.

[0134] S4. Integrate the location and status information of the exported goods and transmit it to the export goods management platform for storage through encryption technology.

[0135] In one embodiment, the step of integrating the location and status information of the export goods and transmitting the information to the export goods management platform for storage by encryption technology includes the following steps:

[0136] S41. Store the location and status information of exported goods off-chain based on IPFS, and store IPFS data fingerprints on-chain;

[0137] S42. Use re-encryption combined with secure multi-party computing to perform multi-node secure data sharing;

[0138] S43. Integrate the location and status information data of exported goods through a fully homomorphic encryption algorithm.

[0139] Specifically, the integration of the location and status information data of the export goods by using a fully homomorphic encryption algorithm includes the following steps:

[0140] S431. Encrypt the obtained location and status information data of the export goods using a fully homomorphic encryption technology to generate ciphertext data, and generate a random number to obtain a polynomial;

[0141] The calculation formula of the polynomial is:

[0142] f(x)=s+a1x+a2x 2 +…+a k-1 x k-1

[0143] In the formula, s represents the number of ciphertexts, a represents a random number, and k represents the number of random numbers;

[0144] S432. Obtain ciphertext segments using Lagrange interpolation method, and reconstruct the ciphertext to obtain integrated data.

[0145] S44. Generate a public key through IPFS, and send the public key to the export goods management platform, and the export goods management platform generates a private key based on the public key;

[0146] S45. The export cargo management platform generates a transmission request and encrypts the transmission request data using a private key to form encrypted transmission data;

[0147] S46. The export cargo management platform sends an encrypted transmission data request including a timestamp to IPFS;

[0148] S47, IPFS processes the request, and finally the export cargo management platform receives the data for storage.

[0149] The IPFS processes the request, and finally the export cargo management platform receives the data for storage, including the following steps:

[0150] S471, IPFS receives the encrypted transmission data request with a timestamp, and decrypts it according to the public key and the timestamp to obtain the plaintext data;

[0151] S472. After the decryption is completed, IPFS generates the same private key as the export goods management platform, and IPFS decrypts the encrypted transmission data request with the timestamp through the private key;

[0152] S473. After the decryption is completed, a data transmission request from the export goods management platform is received, and the data is transmitted to the export goods management platform.

[0153] S5. The demander logs in to the export cargo management platform to query cargo status information according to its own needs.

[0154] Specifically, according to the needs of the demander, the specific query of cargo status information includes the following steps:

[0155] The demander logs in to the export goods management platform and enters the goods status information query page. On the query page, the demander enters the relevant information of the goods;

[0156] The export cargo management platform receives the query request and verifies the legitimacy and authority of the request. The export cargo management platform queries and obtains cargo status information based on the input cargo information;

[0157] The export cargo management platform returns the query results to the demander in plain text, and the demander views and obtains the cargo status information on the interface.

[0158] In summary, with the help of the above technical solution of the present invention, the present invention first establishes a connection between the export goods and the marking identification technology, and combines the location information technology to build a cargo tracing system to realize the positioning and tracking of the goods, so as to facilitate the understanding of the specific location of the goods, and at the same time monitor and warn the tracing system, so as to monitor the location and status information of the goods in real time, check whether the goods are deviated and dropped, and send the status information data to the export goods management platform, so as to facilitate the demand side to retrieve the location of the export goods, thereby ensuring the stability of the goods during transportation. The present invention is based on the blockchain export goods status information management method, firstly, based on the blockchain technology to build a cargo status information management platform to ensure that the data in the platform cannot be tampered with, and the cargo status information recorded by the platform is true and reliable, and at the same time, the demand side can query the location and status of the goods in real time, timely understand the dynamics of the goods, make preparations in advance, greatly improve work efficiency, and effectively improve the efficiency and transparency of export goods management.

[0159] The present invention builds a cargo tracing system, monitors and warns it, and monitors the location and status information of the cargo in real time, so as to improve the safety of the cargo. Once an abnormal situation occurs, it can respond quickly and take measures to reduce the risks of cargo damage and loss. At the same time, encryption technology is used when transmitting data to the cargo status information management platform, so that data can be prevented from being illegally stolen or tampered with during transmission and storage, thereby protecting data security, preventing data leakage in the platform, and greatly improving the overall security of the storage platform.

[0160] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for managing export goods status information based on blockchain, characterized in that: The management method includes the following steps: S1. Build an export goods management platform based on blockchain technology and establish a connection between mark identification technology and export goods; S2. Combine tag recognition technology with location information technology to build a cargo tracing system to locate and track cargo; S3. Monitor and warn the use of the cargo traceability system, and monitor the location and status of the cargo in real time; S4. Integrate the location and status information of the export goods and transmit it to the export goods management platform for storage through encryption technology; S5. The demander logs in to the export goods management platform to query the goods status information according to its own needs; The monitoring and early warning of the use of the cargo tracing system and real-time monitoring of the location and status information of the cargo include the following steps: S31. Using data collection to set up a network protocol, transmit the transportation data in the cargo tracing system, and normalize and clean the transportation data; S32, setting a data storage structure according to a distributed computing method, and performing a multi-dimensional adjustment operation on the processed transportation data through a distributed search process of the system for data storage; S33, the transport data after transmission and processing is processed through the situation awareness platform for security situation processing, to obtain the perception results, and to perform data fusion according to the situation awareness results; S34. Use the integrated data to track the safety signals of the cargo traceability system, determine the safety range, and establish a correlation matrix to analyze the changes in the safety signal index; S35, locating the cargo position deviation area according to the index change and providing cargo position and status information warning; The transportation data after being transmitted and processed by the situation awareness platform is processed for security situation to obtain the perception result, and data fusion is performed according to the situation awareness result, which includes the following steps: S331, performing a situation understanding operation based on the transportation data, and using a judgment mode of network association analysis to perform situation security understanding on the security dimensions of the transportation data, wherein the security dimensions include cargo integrity, cargo transportation path, cargo status information, and cargo location; S332, performing centralized abnormal area detection processing on the cargo location and status information in the transportation data to determine whether there is an abnormal state. If an abnormal state is found, proceed to the next step. If no abnormal state is found, repeat step S331; S333, locate the area where the abnormal state is located, mark the abnormal state, and associate it with the attack chain related to the export cargo transportation to transmit the abnormal information situation understanding signal, and generate the abnormal reference standard; S334, constructing an association relationship between an abnormal reference standard and an abnormal state, and determining whether the abnormal reference standard is deviation information according to a situation understanding behavior to obtain a perception result, wherein the situation understanding behavior includes an expected path and an expected position of the cargo; S335, presenting the situation of the perception results and performing data fusion on the perception results; The presenting of the situation of the perception results and the data fusion of the perception results include the following steps: S3351. Use the perception system to visualize the transportation data and collect abnormal conditions into the visualization space to obtain a visualization view; S3352, presenting the perception results in a visualization view and dividing different situation presentation intervals according to the dimensional presentation form of the data; S3353, integrating the abnormal status of the transportation data, dividing different transportation data monitoring areas through gridding, and performing data coding processing on the divided monitoring areas; S3354. Integrate the transportation data in different time periods to establish a relationship model between abnormal status and transportation data; S3355. The perceived situation information is used as the initial condition for fusion according to the divided areas, and data association processing is performed on the cargo transportation information.

2. According to claim 1, a method for managing export goods status information based on blockchain, characterized in that: The construction of the export goods management platform based on blockchain technology and the establishment of a connection between the marking recognition technology and the export goods include the following steps: S11. Design the platform framework using blockchain technology, and use smart contracts for node consensus and process setting to complete the initial construction of the platform; S12. Use IPFS to design the on-chain and off-chain storage function of the later status information, and connect it with the export cargo management platform to complete the construction; S13, transporting the export goods into containers, numbering the containers, and generating container and export goods block codes respectively according to rules; S14. Connecting with the container through radio frequency identification technology to identify and store the container and export cargo block code information.

3. A method for managing export goods status information based on blockchain according to claim 2, characterized in that: The method of combining the tag recognition technology with the location information technology to construct a cargo tracing system and locate and track the cargo includes the following steps: S21. Use radio frequency identification technology and global positioning system to collect the transportation data of export goods, and use the transportation data as the perception layer in the process of building the cargo traceability system; S22. Use GPRS and network technology to build a network layer for transport data access, transmission and communication, and to trace and share export cargo transport data; S23. Design the application layer to process and control the transportation data, and connect the application layer with the export cargo management platform; S24. The perception layer, network layer and application layer are integrated to complete the construction of the cargo traceability system, and the cargo is located and tracked through the cargo traceability system.

4. The method for managing export goods status information based on blockchain according to claim 1, characterized in that: The method of using the integrated data to track the operation safety signal of the cargo traceability system, determine the safety range, and establish a correlation matrix to analyze the change of the safety signal index includes the following steps: S341. Track and select signals for the traceability system based on the integrated data, and select the data with the highest intensity among the signals as the safety signal for tracking; S342, sending a tracking instruction according to the safety signal transmission path, marking the data location of the real-time monitoring safety signal, and determining the safety range; S343, setting a security risk index according to the security range and converting it into a signal filter, controlling the signal filter emission range to be within the tracking interval, and matching the association mining rules; S344, extracting the required tracking signal by using a mining algorithm, and entering the signal position coordinates of the tracking signal fed back by the tracking system, and displaying the information of the tracking signal by using a visual interface; S345. The conditional probability density in the transportation data is used as a probability indicator of abnormal fault information, signal indexes are collected after the spatial structure is adjusted, and warning levels are set according to different signal indexes.

5. The method for managing export goods status information based on blockchain according to claim 2, characterized in that: The step of integrating the location and status information of the export goods and transmitting the information to the export goods management platform for storage by means of encryption technology comprises the following steps: S41. Store the location and status information of exported goods off-chain based on IPFS, and store IPFS data fingerprints on-chain; S42. Use re-encryption combined with secure multi-party computing to perform multi-node secure data sharing; S43, integrating the location and status information data of the exported goods through a fully homomorphic encryption algorithm; S44. Generate a public key through IPFS, and send the public key to the export goods management platform, and the export goods management platform generates a private key based on the public key; S45. The export cargo management platform generates a transmission request and encrypts the transmission request data using a private key to form encrypted transmission data; S46. The export cargo management platform sends an encrypted transmission data request including a timestamp to IPFS; S47, IPFS processes the request, and finally the export cargo management platform receives the data for storage.

6. A method for managing export goods status information based on blockchain according to claim 5, characterized in that: The integration of the location and status information data of the export goods by the fully homomorphic encryption algorithm comprises the following steps: S431. Encrypt the obtained location and status information data of the export goods using a fully homomorphic encryption technology to generate ciphertext data, and generate a random number to obtain a polynomial; The calculation formula of the polynomial is: In the formula, s Indicates the number of ciphertexts, a Represents a random number, k Indicates the number of random numbers; S432. Obtain ciphertext segments using Lagrange interpolation method, and reconstruct the ciphertext to obtain integrated data.

7. A method for managing export goods status information based on blockchain according to claim 6, characterized in that: The IPFS processes the request, and finally the export cargo management platform receives the data for storage, including the following steps: S471, IPFS receives the encrypted transmission data request with a timestamp, and decrypts it according to the public key and the timestamp to obtain the plaintext data; S472. After the decryption is completed, IPFS generates the same private key as the export goods management platform, and IPFS decrypts the encrypted transmission data request with the timestamp through the private key; S473. After the decryption is completed, a data transmission request from the export goods management platform is received, and the data is transmitted to the export goods management platform.

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