Offshore trade platform data analysis method and system based on block chain

Abstract

The invention relates to the technical field of offshore trade platform data analysis methods, and discloses an offshore trade platform data analysis method and system based on a block chain, and the method comprises the steps: constructing a distributed network based on the block chain, encrypting key data in an offshore trade process, uploading the key data to a chain for storage, constructing a data analysis model on the chain, and analyzing the data in the chain. By processing and analyzing the uplink data, decision support such as risk assessment, market prediction and credit rating is provided for the user. According to the method, the security and reliability of the offshore trade data are effectively improved by using the decentralization and tamper-resistant characteristics of the block chain, transparent sharing and efficient collaboration of the data are realized through an intelligent contract and a consensus mechanism, the overall efficiency and competitiveness of the offshore trade are improved, and the healthy development of the international trade is promoted.

Description

Technical Field

[0001] This invention relates to the field of offshore trading platform data analysis methods, specifically to a blockchain-based offshore trading platform data analysis method and system. Background Technology

[0002] As globalization deepens, offshore trade, as an important form of international trade, continues to grow in scale and complexity. Offshore trade typically involves participants from multiple countries or regions, including buyers, sellers, banks, logistics companies, and insurance companies. The transaction process is complex, data exchange is frequent, and there are extremely high requirements for security, transparency, and efficiency.

[0003] Limitations of traditional offshore trade models:

[0004] Data silos: Parties involved in offshore trade typically use their own independent information systems, making data sharing and integration difficult and creating "data silos." This not only reduces data utilization but also increases information asymmetry and the risk of fraud.

[0005] Difficulty in establishing trust: Due to the lack of a unified and reliable data-sharing platform, it is difficult for parties to establish an effective trust mechanism. This leads to high coordination costs and low efficiency in the transaction process, and may trigger trade disputes.

[0006] Security risks: Traditional centralized data storage and transmission methods are vulnerable to hacker attacks or leaks by insiders, making it difficult to effectively protect data security and privacy.

[0007] Insufficient transparency: The flow of transaction information is not transparent, making it difficult to trace and verify, which can easily breed corruption and fraud.

[0008] Inefficiency: Manually processing large amounts of documents and data is inefficient and prone to human error, leading to longer transaction cycles and increased costs.

[0009] Advantages of blockchain technology:

[0010] In recent years, blockchain technology, as a distributed ledger technology, has been widely used in finance, supply chain, Internet of Things and other fields due to its decentralized, immutable, traceable and secure characteristics, and has shown great application potential in the offshore trade sector.

[0011] Decentralization: Blockchain enables data storage and sharing through a distributed network, eliminating the need for a single centralized control point and improving the system's robustness and resistance to attacks.

[0012] Immutable: Once data is uploaded to the blockchain, it cannot be tampered with or deleted, ensuring the security and trustworthiness of the data.

[0013] Traceability: All transaction records on the blockchain are permanently stored and can be traced and verified, improving the transparency and auditability of transactions.

[0014] Smart contracts: Smart contracts on the blockchain can automatically execute predefined business logic, thereby automating and intelligentizing the transaction process, improving efficiency and reducing costs.

[0015] Safe and reliable: Blockchain uses encryption algorithms and consensus mechanisms to ensure data security and privacy, and prevent data leakage and fraud.

[0016] The shortcomings of existing blockchain-based offshore trading platforms:

[0017] Despite the significant advantages of blockchain technology in offshore trade, existing blockchain-based offshore trade platforms still have some shortcomings:

[0018] Insufficient data analysis capabilities: Most platforms only implement on-chain storage of transaction data and basic query functions, lacking the ability to conduct in-depth analysis and mining of massive amounts of data, and thus unable to provide users with valuable decision support.

[0019] Limited cross-chain interaction capabilities: Most existing platforms are built on a single blockchain, making it difficult to interact with other blockchain systems and limiting the flow and sharing of data.

[0020] To address the aforementioned issues, this invention proposes a data analysis method and system for offshore trade platforms based on blockchain technology. The aim is to utilize blockchain technology to build a secure, transparent, and efficient platform for sharing and analyzing offshore trade data. By conducting in-depth analysis and mining of massive amounts of transaction data, it provides valuable decision support for users and promotes the healthy development of offshore trade. Summary of the Invention

[0021] (a) Technical problems to be solved

[0022] To address the shortcomings of existing technologies, this invention provides a data analysis method and system for offshore trading platforms based on blockchain, which solves the problems mentioned in the background.

[0023] (II) Technical Solution

[0024] To achieve the above objectives, the present invention provides the following technical solution: a data analysis method and system for offshore trading platforms based on blockchain, the method comprising the following steps:

[0025] Step 1: Construct a blockchain-based offshore trade data storage module to store the transaction data, contract information, logistics information, and capital flow information of trade participants on the blockchain, and implement data encryption and access control through smart contracts;

[0026] Step 2: Synchronously record the operation records of all participants using distributed ledger technology to ensure that the data is tamper-proof and traceable;

[0027] Step 3: Utilize blockchain cross-chain technology to achieve data interoperability between heterogeneous blockchains of different trading participants;

[0028] Step 4: Based on on-chain data, use machine learning algorithms to analyze risk indicators in the trade process in real time, including credit risk, logistics delay risk, and exchange rate fluctuation risk, and generate risk warning reports.

[0029] Step 5: The analysis results will be automatically triggered by the smart contract to initiate the preset response strategy, trigger insurance claims and adjust the settlement method, and be synchronously updated to the blockchain nodes of all participants.

[0030] Preferably, in step 1, zero-knowledge proof technology is used to protect the privacy of sensitive data, and only necessary information is disclosed to the authorized party.

[0031] Preferably, in step 2, data integrity is verified by timestamps and hash values, and a risk prediction model is trained by combining historical data to improve the accuracy of the analysis.

[0032] Preferably, the offshore trade platform data analysis system includes a data acquisition module, a blockchain storage module, a cross-chain interaction module, a smart contract execution module, a risk analysis engine, and a visualization module;

[0033] The data acquisition module is responsible for connecting to various systems of trade participants, automatically capturing transaction data, contract information, logistics information and capital flow information, and performing standardized processing to generate data hash evidence before storing it on the blockchain.

[0034] The blockchain storage module uses blockchain technology to build a distributed ledger, stores all data on the chain, and uses smart contracts to ensure data encryption, access control and immutability, and achieves distributed data storage to ensure high availability and tamper resistance. The smart contracts define data access permissions and operation rules, and record the history of all transactions and operations to ensure traceability.

[0035] The cross-chain interaction module achieves data synchronization and verification between different blockchain networks through cross-chain protocols, solves the problem of data interoperability between heterogeneous chains, realizes data transmission and verification between different blockchain networks, and ensures the consistency and security of cross-chain data.

[0036] The smart contract execution module analyzes on-chain data according to preset rules, triggers automated business processes, writes and deploys smart contracts, defines business rules and automatic execution conditions, listens for on-chain events, triggers the execution of corresponding smart contracts, and records the execution results of smart contracts for subsequent analysis and auditing.

[0037] The risk analysis engine is used to integrate machine learning algorithms to monitor and assess on-chain data in real time, generate risk warning reports, and identify and evaluate various risk indicators to provide decision support.

[0038] The visualization module presents analysis results and risk warning information to users, providing intuitive data display and interactive interface.

[0039] Preferably, the data acquisition module includes a data source adapter, a data extractor, a data converter, a data verifier, a data encryptor, a data hash generator, and a data uploader;

[0040] The data source adapter connects to and adapts to various different data sources to obtain the required transaction data, contract information, logistics information, and capital flow information;

[0041] The data extractor extracts the required data from the data source according to preset rules and strategies;

[0042] The data converter transforms the extracted data into a unified format and performs necessary cleaning and standardization processes.

[0043] The data validator verifies the transformed data to ensure that it conforms to predetermined rules and constraints;

[0044] The data encryptor encrypts the verified data to ensure data security during transmission and storage.

[0045] The data hash generator generates hash values ​​for the data to ensure data integrity and tamper-proof performance.

[0046] The data processed by the data uploader and its hash value are uploaded to the blockchain network.

[0047] Preferably, the blockchain storage module includes a distributed ledger, data blocks, smart contracts, a decryption engine, a consensus mechanism, a network communication layer, and a data index and retrieval engine;

[0048] The distributed ledger is used as the core of the blockchain storage module. The distributed ledger is a decentralized database used to store all transaction records and data.

[0049] The data block is the basic unit stored in the distributed ledger, and each block contains transaction data and other relevant information within a certain time period;

[0050] The smart contract is an automated script that runs on the blockchain and is used to implement encrypted data storage, access control, and data verification logic.

[0051] The decryption engine is responsible for encrypting and decrypting data stored on the blockchain to ensure data security.

[0052] The consensus mechanism is the algorithm and rules by which nodes in a blockchain network reach a consensus, ensuring that all nodes agree on the updates to the ledger data.

[0053] The network communication layer is responsible for data transmission and message communication between nodes in the blockchain network;

[0054] To improve the efficiency of data retrieval on the blockchain, it is necessary to establish a data index and provide efficient retrieval services.

[0055] Preferably, the cross-chain interaction module includes a cross-chain communication protocol, a cross-chain gateway, an anchoring mechanism, a cross-chain state verifier, a cross-chain asset transfer protocol, a cross-chain data mapper, and a cross-chain smart contract;

[0056] The cross-chain communication protocol is used to define the rules and standards for communication between different blockchain systems, ensuring that information can be transmitted accurately between different chains;

[0057] The cross-chain gateway acts as a bridge connecting different blockchain systems. It is responsible for forwarding and routing cross-chain messages and performing necessary protocol conversions.

[0058] The anchoring mechanism establishes an anchoring relationship between the source blockchain and the destination blockchain to ensure the authenticity and consistency of cross-chain transactions;

[0059] The cross-chain state verifier verifies the authenticity and validity of cross-chain transactions, ensuring the consistency and integrity of cross-chain data;

[0060] The cross-chain asset transfer protocol defines the rules and procedures for cross-chain asset transfer, ensuring that assets can be transferred securely and accurately between different blockchain systems;

[0061] The cross-chain data mapper is used to map data from the source blockchain system to the destination blockchain system, ensuring that data can be correctly converted and represented between different chains;

[0062] The cross-chain smart contract executes cross-chain logic and business rules on the blockchain, ensuring the automation and intelligence of cross-chain interactions.

[0063] Preferably, the smart contract execution module includes a smart contract code library, a smart contract deployer, a smart contract trigger, a smart contract execution engine, a smart contract state storage, a smart contract event listener, and a smart contract security auditor;

[0064] The smart contract code repository stores and manages all deployed smart contract code;

[0065] The smart contract deployer is responsible for deploying smart contract code to the blockchain network, making it an executable part of the chain;

[0066] The smart contract trigger is responsible for listening to and triggering the execution of the smart contract;

[0067] The smart contract execution engine is responsible for interpreting and executing smart contract code;

[0068] The smart contract state storage is used to store and manage the execution state and variables of the smart contract;

[0069] The smart contract event listener is used to listen for events generated during the execution of the smart contract and notify the relevant system components and external systems of the events.

[0070] The smart contract security auditor performs security audits on the smart contract code to ensure the security of the smart contract.

[0071] Preferably, the visualization module includes a data visualization engine, a dashboard manager, an interactive user interface, a data mapper, a visual customizer, a multimedia integrator, and a mobile adapter;

[0072] The data visualization engine is responsible for converting raw data into charts and graphical visualization elements;

[0073] The dashboard manager is used to create and manage dashboards, combining multiple visualization components into a comprehensive view;

[0074] The interactive user interface is used to provide an interface for users to interact with the visualization module;

[0075] The data mapper is used to map data analysis results onto visualization elements;

[0076] The visual customizer allows users to customize visualization styles and themes;

[0077] The multimedia integrator integrates visualization components with other multimedia elements;

[0078] The mobile adapter ensures that the visualization module functions well on different devices.

[0079] Preferably, the operation steps of the offshore trade platform data analysis system are as follows:

[0080] Step 1, Data Acquisition: The data source adapter collects data from the systems of each participant. The data preprocessing component cleans, transforms, and standardizes the collected data to generate a data hash. The data upload component then uploads the processed data and its hash value to the blockchain network. The hash formula for this step is as follows:

[0081] H = Hash(F), where H is the hash value, F is the original data, and Hash() is the hash function;

[0082] Step 2, Data Storage: All on-chain data and transaction records are stored using a distributed ledger. Then, a data encryption component is used to encrypt the data stored on the blockchain to ensure data security. Finally, the data indexing component is used to create an index for the data on the blockchain, improving data retrieval efficiency. The encryption and decryption formulas are as follows:

[0083] Encryption: C = E(P,K), where C is the ciphertext, P is the plaintext, K is the key, and E() is the encryption algorithm;

[0084] Decryption: P = D(C,K), where P is the plaintext, C is the ciphertext, K is the key, and D() is the decryption algorithm;

[0085] Step 3, Cross-chain interaction:

[0086] The cross-chain communication protocol component establishes communication connections between different blockchain systems; the cross-chain gateway component enables data and value transfer between different blockchains; and the cross-chain smart contract component executes cross-chain business logic.

[0087] Step 4, Smart Contract Execution: The smart contract deployer deploys predefined smart contracts onto the blockchain; the smart contract trigger initiates smart contract execution based on preset conditions or external events; the smart contract executor executes the smart contract code and automatically processes business logic; the event listener monitors events generated during smart contract execution.

[0088] Step 5, Data Analysis: The data analysis engine retrieves data from the blockchain and analyzes it using pre-defined models and algorithms; the data analysis engine may include various statistical analysis, machine learning, and predictive models;

[0089] Step 6, Visualization: The data visualization engine transforms data analysis results into charts and graphical visualization elements; the dashboard manager combines multiple visualization components into a dashboard; the interactive user interface allows users to interact with the visualization module.

[0090] (III) Beneficial Effects

[0091] Compared with existing technologies, this invention provides a data analysis method and system for offshore trading platforms based on blockchain, which has the following beneficial effects:

[0092] 1. Enhanced Data Security and Reliability: This invention utilizes the decentralized and immutable characteristics of blockchain to encrypt, store, and verify critical data in offshore trade processes, effectively preventing illegal tampering or forgery and ensuring data authenticity and integrity. Simultaneously, the blockchain's consensus mechanism guarantees data consistency, avoiding trade disputes caused by data inconsistencies.

[0093] 2. Enhanced Data Transparency and Traceability: This invention stores information from all stages of offshore trade, including orders, contracts, logistics, and payments, on the blockchain, enabling full traceability of the entire transaction process. All participants can access the blockchain in real time to view the transaction progress and status, improving transaction transparency, reducing the risk of information asymmetry, and facilitating the rapid identification of problems and determination of responsibility.

[0094] 3. Improved Data Analysis Efficiency and Accuracy: This invention constructs a blockchain-based data analysis model to deeply mine and analyze massive amounts of offshore trade data. It can automatically identify correlations, trends, and patterns within the data, providing users with accurate decision support for risk assessment, market forecasting, and trade optimization. Compared to traditional manual analysis methods, this invention significantly improves the efficiency and accuracy of data analysis.

[0095] 4. Facilitating Data Sharing and Collaboration: This invention constructs a secure and reliable data sharing platform, breaking down data silos in traditional offshore trade and enabling interconnection and interoperability of data among participating parties. Through the automatic execution of smart contracts, business processes can be simplified, collaborative efficiency improved, and transaction costs reduced.

[0096] 5. Optimized Resource Allocation and Risk Management: By analyzing historical trade data, this invention can help companies identify high-quality partners, optimize supply chain management, and reduce logistics costs and financial risks. Simultaneously, by forecasting market demand, it can help companies rationally plan production and inventory, improving resource utilization efficiency.

[0097] 6. Reduced Operating Costs and Increased Efficiency: This invention reduces manual intervention and the use of paper documents by automating data processing and executing smart contracts, thereby lowering operating costs and the rate of human error. Simultaneously, the real-time nature and efficiency of blockchain shorten transaction cycles and improve overall efficiency.

[0098] 7. Enhanced regulatory compliance: The traceability and immutability of this invention provide regulatory authorities with an effective regulatory tool to monitor trade activities in real time, prevent and combat illegal transactions, and maintain market order. Attached Figure Description

[0099] Figure 1 This is a schematic diagram of the overall system architecture of the present invention. Detailed Implementation

[0100] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0101] This blockchain-based offshore trading platform data analysis method and system includes a data acquisition module, a blockchain storage module, a cross-chain interaction module, a smart contract execution module, a risk analysis engine, and a visualization module.

[0102] The data acquisition module is responsible for connecting to various systems of trade participants, automatically capturing transaction data, contract information, logistics information and capital flow information, and performing standardized processing to generate data hash evidence before storing it on the blockchain.

[0103] The blockchain storage module uses blockchain technology to build a distributed ledger, stores all data on the chain, and uses smart contracts to ensure data encryption, access control and immutability, and achieves distributed data storage to ensure high availability and tamper resistance. The smart contracts define data access permissions and operation rules, and record the history of all transactions and operations to ensure traceability.

[0104] The cross-chain interaction module achieves data synchronization and verification between different blockchain networks through cross-chain protocols, solves the problem of data interoperability between heterogeneous chains, realizes data transmission and verification between different blockchain networks, and ensures the consistency and security of cross-chain data.

[0105] The smart contract execution module analyzes on-chain data according to preset rules, triggers automated business processes, writes and deploys smart contracts, defines business rules and automatic execution conditions, listens for on-chain events, triggers the execution of corresponding smart contracts, and records the execution results of smart contracts for subsequent analysis and auditing.

[0106] The risk analysis engine is used to integrate machine learning algorithms to monitor and assess on-chain data in real time, generate risk warning reports, and identify and evaluate various risk indicators to provide decision support.

[0107] The visualization module presents analysis results and risk warning information to users, providing intuitive data display and interactive interface.

[0108] Example 1: Data Analysis Method for Offshore Trading Platforms Based on Blockchain

[0109] This embodiment provides a data analysis method for offshore trading platforms based on blockchain, including the following steps:

[0110] Step 1: Building a Blockchain Network

[0111] First, a distributed network based on blockchain technology is constructed, consisting of multiple nodes, each corresponding to an entity participating in offshore trade, such as a buyer, seller, bank, or logistics company. Each node has its own independent ledger for storing data on the blockchain.

[0112] Step 2: Data Upload to the Blockchain

[0113] Key data in the offshore trade process, such as order information, contract information, logistics information, and payment information, are encrypted and stored on the blockchain. Each data item includes metadata such as a timestamp, data owner information, and data hash value to ensure data traceability and immutability.

[0114] Step 3: Building a Data Analysis Model

[0115] A data analysis model is built on the blockchain, comprising a data preprocessing module, a feature engineering module, a model training module, and a model evaluation module. The data preprocessing module cleans, deduplicates, and standardizes the on-chain data; the feature engineering module extracts data features and constructs feature vectors; the model training module uses machine learning or deep learning algorithms to train the feature vectors and build a predictive model; and the model evaluation module evaluates the model's performance and makes optimizations.

[0116] Step 4: Data Analysis and Results Output

[0117] The system utilizes trained data analysis models to perform real-time analysis of on-chain offshore trade data, including risk assessment, market forecasting, and trade optimization. The analysis results are output to users in the form of visual reports or charts, providing decision support.

[0118] Example 2: Blockchain-based Offshore Trading Platform Data Analysis System

[0119] This embodiment provides a blockchain-based offshore trade platform data analysis system, including the following modules:

[0120] Network layer: Provides underlying support for the blockchain network, including functions such as node communication, data consensus, and smart contract execution.

[0121] Data layer: Responsible for the storage and management of offshore trade data, including functions such as data on-chaining, data querying, and data verification.

[0122] Model layer: Includes data preprocessing module, feature engineering module, model training module and model evaluation module, used to build and train data analysis models.

[0123] Application layer: Provides user interface and application programming interface (API) for receiving user input, displaying analysis results, and interacting with third-party systems.

[0124] The system workflow is as follows:

[0125] Users send data analysis requests, such as risk assessment requests, to the system through the application layer.

[0126] The application layer forwards the request to the model layer, which then calls the corresponding data analysis model for processing.

[0127] The model layer obtains the required data from the data layer, performs data preprocessing and feature engineering, and then uses the trained model for prediction or analysis.

[0128] The model layer returns the analysis results to the application layer, which then displays the results to the user in the form of visual reports or charts.

[0129] Through the above embodiments, the present invention provides a data analysis method and system for offshore trade platforms based on blockchain, which can effectively solve the problems of data security, transparency and efficiency in traditional offshore trade models, and provide valuable decision support for participants in offshore trade.

[0130] In summary, this invention, by combining blockchain technology with data analysis methods, provides a secure, transparent, efficient, and intelligent solution for offshore trade, which helps improve the overall efficiency and competitiveness of offshore trade and promotes the healthy development of international trade.

[0131] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0132] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A data analysis method for offshore trading platforms based on blockchain, characterized by: The method includes the following steps: Step 1: Construct a blockchain-based offshore trade data storage module to store the transaction data, contract information, logistics information, and capital flow information of trade participants on the blockchain, and implement data encryption and access control through smart contracts; Step 2: Synchronously record the operation records of all participants using distributed ledger technology to ensure that the data is tamper-proof and traceable; Step 3: Utilize blockchain cross-chain technology to achieve data interoperability between heterogeneous blockchains of different trading participants; Step 4: Based on on-chain data, use machine learning algorithms to analyze risk indicators in the trade process in real time, including credit risk, logistics delay risk, and exchange rate fluctuation risk, and generate risk warning reports. Step 5: The analysis results will be automatically triggered by the smart contract to initiate the preset response strategy, trigger insurance claims and adjust the settlement method, and be synchronously updated to the blockchain nodes of all participants.

2. The data analysis method for offshore trading platforms based on blockchain according to claim 1, characterized in that: In step 1, zero-knowledge proof technology is used to protect the privacy of sensitive data, and only necessary information is disclosed to the authorized party.

3. The data analysis method for offshore trading platforms based on blockchain according to claim 1, characterized in that: In step 2, data integrity is verified by timestamps and hash values, and a risk prediction model is trained by combining historical data to improve the accuracy of the analysis.

4. The blockchain-based offshore trade platform data analysis system according to claim 1, characterized in that: The offshore trade platform's data analysis system includes a data acquisition module, a blockchain storage module, a cross-chain interaction module, a smart contract execution module, a risk analysis engine, and a visualization module. The data acquisition module is responsible for connecting to various systems of trade participants, automatically capturing transaction data, contract information, logistics information and capital flow information, and performing standardized processing to generate data hash evidence before storing it on the blockchain. The blockchain storage module uses blockchain technology to build a distributed ledger, stores all data on the chain, and uses smart contracts to ensure data encryption, access control and immutability, and achieves distributed data storage to ensure high availability and tamper resistance. The smart contracts define data access permissions and operation rules, and record the history of all transactions and operations to ensure traceability. The cross-chain interaction module achieves data synchronization and verification between different blockchain networks through cross-chain protocols, solves the problem of data interoperability between heterogeneous chains, realizes data transmission and verification between different blockchain networks, and ensures the consistency and security of cross-chain data. The smart contract execution module analyzes on-chain data according to preset rules, triggers automated business processes, writes and deploys smart contracts, defines business rules and automatic execution conditions, listens for on-chain events, triggers the execution of corresponding smart contracts, and records the execution results of smart contracts for subsequent analysis and auditing. The risk analysis engine is used to integrate machine learning algorithms to monitor and assess on-chain data in real time, generate risk warning reports, and identify and evaluate various risk indicators to provide decision support. The visualization module presents analysis results and risk warning information to users, providing intuitive data display and interactive interface.

5. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The data acquisition module includes a data source adapter, a data extractor, a data converter, a data verifier, a data encryptor, a data hash generator, and a data uploader. The data source adapter connects to and adapts to various different data sources to obtain the required transaction data, contract information, logistics information, and capital flow information; The data extractor extracts the required data from the data source according to preset rules and strategies; The data converter transforms the extracted data into a unified format and performs necessary cleaning and standardization processes. The data validator verifies the transformed data to ensure that it conforms to predetermined rules and constraints; The data encryptor encrypts the verified data to ensure data security during transmission and storage. The data hash generator generates hash values ​​for the data to ensure data integrity and tamper-proof performance. The data processed by the data uploader and its hash value are uploaded to the blockchain network.

6. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The blockchain storage module includes a distributed ledger, data blocks, smart contracts, a decryption engine, a consensus mechanism, a network communication layer, and a data indexing and retrieval engine. The distributed ledger is used as the core of the blockchain storage module. The distributed ledger is a decentralized database used to store all transaction records and data. The data block is the basic unit stored in the distributed ledger, and each block contains transaction data and other relevant information within a certain time period; The smart contract is an automated script that runs on the blockchain and is used to implement encrypted data storage, access control, and data verification logic. The decryption engine is responsible for encrypting and decrypting data stored on the blockchain to ensure data security. The consensus mechanism is the algorithm and rules by which nodes in a blockchain network reach a consensus, ensuring that all nodes agree on the updates to the ledger data. The network communication layer is responsible for data transmission and message communication between nodes in the blockchain network; To improve the efficiency of data retrieval on the blockchain, it is necessary to establish a data index and provide efficient retrieval services.

7. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The cross-chain interaction module includes a cross-chain communication protocol, a cross-chain gateway, an anchoring mechanism, a cross-chain state verifier, a cross-chain asset transfer protocol, a cross-chain data mapper, and a cross-chain smart contract. The cross-chain communication protocol is used to define the rules and standards for communication between different blockchain systems, ensuring that information can be transmitted accurately between different chains; The cross-chain gateway acts as a bridge connecting different blockchain systems. It is responsible for forwarding and routing cross-chain messages and performing necessary protocol conversions. The anchoring mechanism establishes an anchoring relationship between the source blockchain and the destination blockchain to ensure the authenticity and consistency of cross-chain transactions; The cross-chain state verifier verifies the authenticity and validity of cross-chain transactions, ensuring the consistency and integrity of cross-chain data; The cross-chain asset transfer protocol defines the rules and procedures for cross-chain asset transfer, ensuring that assets can be transferred securely and accurately between different blockchain systems; The cross-chain data mapper is used to map data from the source blockchain system to the destination blockchain system, ensuring that data can be correctly converted and represented between different chains; The cross-chain smart contract executes cross-chain logic and business rules on the blockchain, ensuring the automation and intelligence of cross-chain interactions.

8. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The smart contract execution module includes a smart contract code library, a smart contract deployer, a smart contract trigger, a smart contract execution engine, a smart contract state storage, a smart contract event listener, and a smart contract security auditor; The smart contract code repository stores and manages all deployed smart contract code; The smart contract deployer is responsible for deploying smart contract code to the blockchain network, making it an executable part of the chain; The smart contract trigger is responsible for listening to and triggering the execution of the smart contract; The smart contract execution engine is responsible for interpreting and executing smart contract code; The smart contract state storage is used to store and manage the execution state and variables of the smart contract; The smart contract event listener is used to listen for events generated during the execution of the smart contract and notify the relevant system components and external systems of the events. The smart contract security auditor performs security audits on the smart contract code to ensure the security of the smart contract.

9. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The visualization module includes a data visualization engine, a dashboard manager, an interactive user interface, a data mapper, a visual customizer, a multimedia integrator, and a mobile adapter. The data visualization engine is responsible for converting raw data into charts and graphical visualization elements; The dashboard manager is used to create and manage dashboards, combining multiple visualization components into a comprehensive view; The interactive user interface is used to provide an interface for users to interact with the visualization module; The data mapper is used to map data analysis results onto visualization elements; The visual customizer allows users to customize visualization styles and themes; The multimedia integrator integrates visualization components with other multimedia elements; The mobile adapter ensures that the visualization module functions well on different devices.

10. The blockchain-based offshore trade platform data analysis system according to claim 4, characterized in that: The operation steps of the offshore trade platform data analysis system are as follows: Step 1, Data Acquisition: The data source adapter collects data from the systems of each participant. The data preprocessing component cleans, transforms, and standardizes the collected data to generate a data hash. The data upload component then uploads the processed data and its hash value to the blockchain network. The hash formula for this step is as follows: H = Hash(F), where H is the hash value, F is the original data, and Hash() is the hash function; Step 2, Data Storage: All on-chain data and transaction records are stored using a distributed ledger. Then, a data encryption component is used to encrypt the data stored on the blockchain to ensure data security. Finally, the data indexing component is used to create an index for the data on the blockchain, improving data retrieval efficiency. The encryption and decryption formulas are as follows: Encryption: C = E(P,K), where C is the ciphertext, P is the plaintext, K is the key, and E() is the encryption algorithm; Decryption: P = D(C,K), where P is the plaintext, C is the ciphertext, K is the key, and D() is the decryption algorithm; Step 3, Cross-chain interaction: Cross-chain communication protocol components establish communication connections between different blockchain systems; Cross-chain gateway components enable data and value transfer between different blockchains; Cross-chain smart contract components execute cross-chain business logic; Step 4, Smart Contract Execution: The smart contract deployer deploys predefined smart contracts onto the blockchain; smart contract triggers execute smart contracts based on preset conditions or external events. The smart contract executor executes smart contract code and automatically processes business logic. Event listeners monitor events generated during the execution of smart contracts; Step 5, Data Analysis: The data analysis engine retrieves data from the blockchain and analyzes it using pre-defined models and algorithms; the data analysis engine may include various statistical analysis, machine learning, and predictive models; Step 6, Visualization: The data visualization engine transforms data analysis results into charts and graphical visualization elements; the dashboard manager combines multiple visualization components into a dashboard; the interactive user interface allows users to interact with the visualization module.

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