Cross-border agricultural and sideline products dynamic pricing intelligent contract execution system

Abstract

The application discloses a cross-border agricultural and sideline product dynamic pricing intelligent contract execution system, realizes real-time, automatic, tamper-proof adjustment and settlement of cross-border agricultural and sideline product prices through multi-dimensional data collection, dynamic pricing calculation, blockchain intelligent contract execution, cross-chain settlement and data verification and storage, and the system adopts a unique weighted dynamic pricing formula, and combines multi-signature consensus, fixed-point number operation, decentralized oracle and other innovative technologies to ensure that the prices are fairly, timely and safely executed under the cross-border environment, and the transaction efficiency is significantly improved and the dispute risk is reduced.

Description

Technical Field

[0001] This invention belongs to the field of blockchain and smart contract technology, specifically involving a system and method that combines multi-dimensional variables such as cross-border agricultural and sideline product supply chain data, international market conditions, logistics timeliness, exchange rate fluctuations, and climate factors, and automatically calculates and executes dynamic pricing and settlement through smart contracts. Background Technology

[0002] International trade in cross-border agricultural products has long relied on manual negotiation or fixed contract pricing. This model has revealed numerous shortcomings in the context of frequent fluctuations in international market prices. First, traditional pricing cannot reflect real-time changes in international supply and demand and price trends, often leading to transactions where prices have deviated from actual value, thus impacting profits and market competitiveness. Second, cross-border transactions involve multiple fiat currencies, and exchange rate fluctuations directly affect actual returns. However, existing models mostly lock in exchange rates at the time of contract signing; significant exchange rate fluctuations can result in substantial losses for one party. Furthermore, the timeliness and quality of logistics are also crucial factors influencing the final value of agricultural products. In the traditional system, these factors are often only assessed manually after delivery, making it difficult to reflect them in the price in a timely manner.

[0003] At the transaction execution level, existing systems mostly rely on centralized platforms or intermediaries, resulting in delays in data updates and the risk of data tampering. In the event of a dispute, mediation or arbitration often requires significant time and resources, and the outcome depends on the credibility of a third party, lacking transparency and immutability. While some platforms have attempted to introduce electronic processes, they still remain subject to human intervention and cannot achieve full automation.

[0004] In terms of technical implementation, existing dynamic pricing attempts mostly focus on adjusting a single market or a single factor, such as considering only exchange rates or referencing only a single exchange's quote, lacking comprehensive processing of multi-dimensional data. Even those few systems that attempt to incorporate more factors often employ simple linear weighting, failing to reflect the non-linear relationships and mutual influences between factors. Furthermore, most systems directly use floating-point operations in price calculations, which can easily lead to accuracy and consistency issues in deterministic computing environments such as blockchain. Regarding cross-currency settlement, existing solutions largely rely on centralized banks or payment institutions, increasing transaction costs, extending settlement cycles, and posing risks to security and transparency.

[0005] The reliability of data sources is also a weak point. Existing systems often obtain data from a single or a few data sources, lacking multi-party verification mechanisms. If a data source is faulty or attacked, it will directly affect the accuracy of pricing and settlement. In terms of data storage and evidence preservation, most platforms use traditional databases, which can be modified by administrators, making it difficult to provide legally irrefutable evidence.

[0006] While smart contract technology has been increasingly applied in the fields of finance and supply chain management in recent years, its application in the pricing of cross-border agricultural and sideline products remains largely unexplored. Existing smart contract applications are mostly focused on the automatic execution of digital currency transactions or simple conditions, failing to be specifically designed for the multidimensional and dynamic characteristics of cross-border agricultural and sideline product transactions, and lacking deep integration with mechanisms such as cross-chain settlement, data verification, and risk buffering.

[0007] In summary, the existing cross-border agricultural and sideline product pricing and settlement system suffers from problems such as poor real-time performance, limited data sources, insufficient calculation accuracy, reliance on manual execution, and a lack of transparency and tamper-proof capabilities, failing to meet the demands of global trade for efficient, fair, and secure transactions. Therefore, it is necessary to design a new system that can integrate multi-dimensional dynamic factors, achieve automated calculation and execution, and ensure data trustworthiness and transaction security within a blockchain environment. Summary of the Invention

[0008] The purpose of this invention is to provide a smart contract execution system for dynamic pricing of cross-border agricultural and sideline products.

[0009] To achieve the above objectives, this invention employs the following technical solution: a cross-border agricultural and sideline product dynamic pricing smart contract execution system; a multi-dimensional data acquisition module for real-time acquisition of international market price data, real-time exchange rate data, logistics timeliness data, climate index data, and quality inspection data; a dynamic pricing calculation engine for calculating real-time prices based on a preset dynamic pricing formula; a smart contract execution module for deploying and executing smart contracts containing dynamic price calculation logic on a blockchain network; a cross-chain settlement interface for automatic exchange and settlement between different fiat currencies; and a data verification and notarization module for performing multi-party digital signature verification on the collected data and writing the verified data into the blockchain to achieve tamper-proof notarization; the dynamic pricing formula is:

[0010] The parameters are defined as described above, and all weight coefficients satisfy the normalization condition.

[0011] The system's architecture forms a complete closed loop, encompassing data collection, price calculation, contract execution, cross-chain settlement, and data storage. The multi-dimensional data collection module covers key variables influencing agricultural product prices, including real-time international market quotes, exchange rate fluctuations, logistics and transportation time, the impact of climate on yield, and quality inspection scores. The dynamic pricing calculation engine integrates these variables according to pre-defined formulas, generating a transaction price reflecting the real market environment at any given time. The smart contract execution module directly embeds this price into the blockchain's automated execution logic, enabling unattended transaction confirmation and fund transfer. The cross-chain settlement interface supports multi-currency conversion, ensuring convenient settlement for buyers and sellers in different countries. The data verification and storage module guarantees the authenticity and reliability of all input data through multi-party signatures and the immutability of blockchain. This overall architecture achieves full-process automation and real-time performance in cross-border agricultural product transactions, scientifically integrating multi-dimensional influencing factors into the pricing model. Through blockchain and smart contracts, it ensures transparency, fairness, and immutability in the execution process, significantly improving transaction efficiency and reducing the incidence of disputes.

[0012] Furthermore, the multi-dimensional data acquisition module employs distributed nodes that connect to different data sources. Each node, after acquiring data, appends a timestamp and a data source identifier, and signs the data using an elliptic curve digital signature algorithm to ensure the traceability and integrity of the data source. This distributed node design avoids single points of failure and data monopolies. Each node is responsible for connecting to a specific type of data source, such as international agricultural commodity exchanges, foreign exchange trading platforms, meteorological information service providers, and logistics tracking systems. After acquiring data, the node immediately appends a timestamp accurate to the second and a unique data source identifier, and uses an elliptic curve digital signature algorithm to encrypt and sign the data packet, forming an unforgeable data credential. These signed credentials are transmitted along with the data to subsequent processing stages, providing a mathematically reliable basis for data verification. The combination of distributed acquisition and digital signatures enables the system to maintain stable operation even in the face of data source failures, while preventing data tampering during transmission or storage, ensuring the authenticity and reliability of the original data used for subsequent pricing calculations.

[0013] Furthermore, the dynamic pricing calculation engine employs fixed-point arithmetic units during the calculation process to avoid price calculation errors caused by the blockchain virtual machine's lack of support for high-precision floating-point arithmetic. After calculation, the result is converted into the smallest unit of account recognizable by the contract. Since most blockchain virtual machines do not directly support high-precision floating-point arithmetic, directly using floating-point numbers may lead to inconsistent calculation results across different nodes, thus affecting the execution of smart contracts. The dynamic pricing calculation engine incorporates fixed-point arithmetic units, converting all values ​​involved in the calculation into integer form and performing calculations with a fixed number of decimal places, thereby ensuring that all nodes obtain the exact same price result during the consensus process. After calculation, the engine converts the result into the smallest unit of account recognizable by the contract, such as representing it as an integer in the smallest monetary unit, avoiding contract execution failures due to precision issues. Fixed-point arithmetic ensures the determinism and consistency of price calculations in a distributed environment, preventing transaction failures or incorrect fund allocation due to calculation errors, and improving the stability and reliability of the system.

[0014] Furthermore, the smart contract execution module is deployed on a consortium blockchain network, with the ledger jointly maintained by several nodes possessing verification qualifications. The contract logic includes: monitoring data collection events, triggering price calculations, determining whether payment conditions are met, executing cross-chain transfer instructions, and generating event logs at each step for external systems to query. The consortium blockchain network consists of authorized verification nodes that jointly maintain the blockchain ledger, ensuring high transaction processing performance and controllability. The smart contract logic is designed as a state machine, capable of monitoring data collection events in real time. Once new data is uploaded to the chain, price calculations are triggered, and the calculation results determine whether the buyer's account balance is sufficient for payment. If the conditions are met, the contract automatically executes the cross-chain transfer instruction, transferring funds from the buyer's account to the seller's multisignature wallet. Each step generates an event log, which is publicly available for query by regulatory agencies or trading parties, enhancing transparency. The consortium blockchain deployment balances performance and security; the fully automated execution of the smart contract eliminates the possibility of human intervention; and the complete recording of event logs provides a reliable basis for auditing and dispute resolution.

[0015] Furthermore, the cross-chain settlement interface supports automatic exchange of at least two fiat currencies. The exchange rate is derived from a decentralized oracle network, and the oracle data is signed and verified before each settlement to prevent malicious price feed attacks. The cross-chain settlement interface achieves automatic exchange between different fiat currencies through bridging protocols with multiple blockchain networks. Exchange rate data is provided by a decentralized oracle network that aggregates quotes from multiple independent data sources and signs the data. The system verifies the oracle signature before each settlement to ensure that the exchange rate has not been maliciously tampered with. Only after successful verification will the contract execute the fund conversion according to the exchange rate. The decentralized oracle and signature verification mechanism effectively resist price feed attacks, ensuring the fairness and accuracy of cross-currency settlements while reducing reliance on centralized financial institutions.

[0016] Furthermore, the data verification and storage module performs multi-signature consensus before data is uploaded to the blockchain. Data is only written into a block after more than a preset proportion (e.g., two-thirds) of the verification nodes have signed and confirmed the same data, thus preventing single-point data forgery. The multi-signature consensus mechanism requires data to be independently signed and confirmed by a majority of verification nodes before being written to the blockchain; for example, at least two-thirds of the nodes must agree to reach a consensus. This process ensures that even if individual nodes are compromised or erroneous, the data content cannot be altered unilaterally. Only data confirmed through multi-signature verification is packaged into a block and permanently stored. Multi-signature consensus significantly improves the data's tamper-proof capability, prevents single-point forgery, and enhances the credibility and security of the entire system.

[0017] Furthermore, the system also includes a risk buffer fund module. This fund, based on historical price fluctuations, proportionally extracts transaction amounts and deposits them into a custodian address controlled by a smart contract. This fund is used to partially compensate affected parties in the event of extreme exchange rate fluctuations or logistical delays. The risk buffer fund module analyzes historical price fluctuation data to determine the extraction ratio and automatically transfers the corresponding amount to the custodian address controlled by the smart contract for each transaction. When unforeseen circumstances such as extreme exchange rate fluctuations or severe logistical delays occur, the contract can allocate compensation from the fund to the affected party according to preset rules to mitigate losses. This risk buffer mechanism effectively mitigates the impact of force majeure on both parties to the transaction, improving transaction stability and risk resistance.

[0018] Furthermore, the international market volatility adjustment coefficient in the dynamic pricing formula The calculation method is as follows:

[0019] in Let N be the standard deviation of prices over the past N periods. The mean, This is a risk sensitivity adjustment factor, set by the contract administrator and automatically adjusted under specific conditions. The calculation method quantifies market volatility through statistical analysis of historical price data and converts it into an adjustment coefficient. The standard deviation reflects the degree of price dispersion, the mean reflects the average level, and the ratio of the two reflects the relative volatility intensity. The risk sensitivity adjustment factor allows contract administrators to adjust the impact of volatility on prices based on market conditions or policy requirements, and can be automatically adjusted by the contract under specific conditions to adapt to sudden market changes. This volatility adjustment method reflects the true market risk better than simple averaging, making pricing more flexible and reasonable.

[0020] Furthermore, the system supports multilingual smart contract templates, automatically selecting applicable terms and tax rate calculation logic based on the laws and regulations of different countries. It also embeds compliance check functions into the contract code to ensure that the execution process complies with local regulatory requirements. The multilingual template design enables the system to generate contract texts and logic compliant with local laws for different jurisdictions, including contract terms, tax rate calculation methods, and reporting obligations. The compliance check function embedded in the contract code automatically verifies whether the transaction meets relevant legal requirements before execution; if the conditions are not met, execution is blocked and adjustments are prompted. The combination of multilingualism and compliance checks allows the system to seamlessly adapt to cross-border legal environments, reducing compliance risks and enhancing the convenience of international applications.

[0021] Furthermore, the system includes an anomaly detection and rollback mechanism. When data anomalies or contract execution errors are detected, the relevant transactions are automatically suspended and a multi-signature review process is initiated. Only after the review is passed can execution continue or the system rollback to a safe state. All anomaly handling processes are recorded on the blockchain for future reference. The anomaly detection module monitors the data flow and contract execution status in real time. Once a data anomaly or execution error is detected, the relevant transactions are immediately frozen and a multi-signature review process is triggered. The review is completed jointly by multiple authorized nodes. Only after consensus is reached can a decision be made to continue execution or rollback to a safe state. All anomaly handling processes and results are written to the blockchain to ensure transparency and traceability. The anomaly detection and rollback mechanism effectively prevents the spread of errors, protects asset security, and enhances the credibility and regulatory convenience of anomaly handling through blockchain records.

[0022] This invention provides a smart contract execution system for dynamic pricing of cross-border agricultural and sideline products, which has the following beneficial effects: The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products of this invention achieves real-time, automated, and tamper-proof adjustment and settlement of cross-border agricultural and sideline product prices through the organic combination of modules such as multi-dimensional data collection, dynamic pricing calculation, blockchain smart contract execution, cross-chain settlement, and data verification and storage. It has many significant advantages.

[0023] First, during the data acquisition phase, the system employs distributed nodes to connect to different data sources. After acquiring the data, it appends a timestamp and a data source identifier, and uses an elliptic curve digital signature algorithm for signing, ensuring the data source is traceable and tamper-proof. This mechanism effectively avoids errors or malicious tampering that may occur with a single data source, improving data reliability and integrity, and providing a solid input foundation for subsequent pricing calculations.

[0024] Secondly, the dynamic pricing calculation engine employs fixed-point arithmetic units, resolving the issue of blockchain virtual machines not supporting high-precision floating-point operations, thus ensuring the consistency and accuracy of price calculations. Through a pre-defined dynamic pricing formula, multiple factors such as international market quotations, real-time exchange rates, logistics timeliness, climate indices, and quality inspections are incorporated into a unified calculation framework. Weighting coefficients are introduced to reflect the relative importance of each factor, enabling prices to comprehensively and accurately reflect the overall state of the current trading environment. This design overcomes the limitations of traditional single-factor pricing, enhancing price fairness and market competitiveness.

[0025] Third, the smart contract execution module is deployed on a consortium blockchain network, with multiple nodes possessing verification qualifications jointly maintaining the ledger. The contract logic covers the entire process, including data monitoring, price calculation, payment condition judgment, and cross-chain transfer instruction execution, generating event logs at each step for external querying. This decentralized execution environment eliminates dependence on a single center, preventing human manipulation and opaque operations. Furthermore, the complete recording of event logs provides a reliable basis for post-event auditing and dispute resolution.

[0026] Fourth, the cross-chain settlement interface supports automatic exchange of at least two fiat currencies. The exchange rate is derived from a decentralized oracle network, and the oracle data is signed and verified before each settlement to prevent malicious price feed attacks. This mechanism not only reduces the risks caused by exchange rate fluctuations but also shortens the settlement cycle, reduces intermediary fees, and improves the efficiency of fund transfers.

[0027] Fifth, the data verification and notarization module performs multi-signature consensus before data is uploaded to the blockchain. Data is only written to a block after more than a preset proportion of verification nodes have confirmed the signature of the same data. This mechanism further enhances the data's tamper-proof capability, ensures that all parties involved in a transaction conduct transactions on the basis of equal information, and improves the system's credibility.

[0028] Sixth, the system includes a risk buffer fund module. Based on historical price fluctuations, a proportional percentage of the transaction amount is deposited into a custodian address controlled by a smart contract. This fund is used to partially compensate affected parties in the event of extreme exchange rate fluctuations or logistical delays. This design effectively mitigates the impact of force majeure on both parties, enhancing the stability and sustainability of transactions.

[0029] Seventh, the calculation method for the international market volatility adjustment coefficient incorporates the proportional relationship between the standard deviation and the mean, and adds a risk sensitivity adjustment factor, enabling price volatility to be reasonably quantified and reflected in prices. This approach captures the true level of market risk better than the traditional simple weighted average, helping both trading parties make more informed decisions.

[0030] Eighth, the system supports multilingual smart contract templates, automatically selecting applicable terms and tax rate calculation logic based on the laws and regulations of different countries, and embedding compliance check functions in the contract code to ensure that the execution process complies with local regulatory requirements. This feature greatly facilitates legal adaptation for cross-border transactions and reduces compliance risks.

[0031] Ninth, the anomaly detection and rollback mechanism can automatically suspend related transactions and initiate a multi-signature review process when data anomalies or contract execution errors are detected. Execution can only continue or the transaction can be rolled back to a safe state after the review is passed. All anomaly handling processes are recorded on the blockchain, ensuring transparency and traceability and preventing asset losses and disputes caused by anomalies.

[0032] Tenth, the entire system achieves closed-loop management across the entire chain, from data collection to price calculation, contract execution, cross-chain settlement, risk buffering, compliance checks, and anomaly handling. Each link is closely connected and mutually verifies, forming a highly automated, secure, reliable, and adaptable cross-border agricultural and sideline product trading ecosystem. Compared to existing technologies, this invention is not only more comprehensive in functionality but also significantly improves security, fairness, efficiency, and legal compliance, effectively meeting the demands of globalized cross-border agricultural and sideline product trade for efficient and reliable transactions. Attached Figure Description

[0033] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0034] Figure 1 This is a flowchart illustrating the overall process architecture of the present invention. Detailed Implementation

[0035] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses consistent with some aspects of this disclosure as detailed in the appended claims.

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0037] The multi-dimensional data acquisition module works as follows: After system startup, distributed acquisition nodes are first configured to connect to international market price data sources, real-time exchange rate data sources, logistics timeliness data sources, climate index data sources, and quality inspection data sources, respectively. Each node adds a timestamp and data source identifier to the acquired data and uses an elliptic curve digital signature algorithm to sign the data, ensuring traceability and integrity. The acquired data is then transmitted over the network to the input interface of the dynamic pricing calculation engine, ready for price calculation.

[0038] The dynamic pricing calculation engine is used to calculate prices after receiving multidimensional data. Internally, the engine employs fixed-point arithmetic units to integrate international market quotations, real-time exchange rates, logistics timeliness coefficients, climate impact coefficients, quality rating coefficients, and international market fluctuation adjustment coefficients according to preset weights, using these weighted coefficients to satisfy normalization conditions. The calculation directly applies the formulas.

[0039] Obtain the real-time price and convert the result into the smallest unit of account that the contract can recognize, so that the smart contract execution module can call it.

[0040] The smart contract execution module is used to embed the calculated price into a smart contract deployed on the consortium blockchain network. The contract logic is configured to listen for data collection events; once new data triggers price calculation, it checks whether the buyer's account balance meets the payment conditions. If the conditions are met, the contract automatically executes a cross-chain transfer instruction, transferring funds from the buyer's account to the seller's multisignature wallet. At each step of price calculation, condition judgment, and fund transfer, the contract generates an event log for external systems to query.

[0041] Using the cross-chain settlement interface: Before executing a cross-chain transfer, the cross-chain settlement interface is called to obtain the exchange rates of at least two fiat currencies. The exchange rates are provided by a decentralized oracle network, and the oracle data is signed and verified before use to prevent malicious price feed attacks. After successful verification, the interface completes the currency conversion and executes the fund settlement according to the exchange rate.

[0042] The data verification and notarization module is used to verify data through multi-signature consensus before it enters the blockchain. More than a preset proportion of verification nodes must sign and confirm the same data before it can be written into a block. This process prevents single-point data forgery and ensures that all input data is permanently stored on the chain and cannot be tampered with.

[0043] The risk buffer fund module works as follows: At the time of each transaction execution, the system extracts a percentage of the transaction amount based on historical price fluctuations and transfers it to a custodian address controlled by a smart contract, forming a risk buffer fund. In the event of extreme exchange rate fluctuations or severe logistical delays, the contract allocates a portion of the fund according to preset rules to compensate the affected party and mitigate losses.

[0044] Use of the international market volatility adjustment factor: In the dynamic pricing formula, the international market volatility adjustment factor is calculated as follows:

[0045] Calculation, where Let N be the standard deviation of prices over the past N periods. The mean, This is a risk sensitivity adjustment factor. Contract administrators can set it. The value is automatically adjusted by the contract under specific conditions to reflect the impact of market fluctuations on prices.

[0046] Using multilingual smart contract templates: Based on the laws and regulations of the countries where both parties to the transaction are located, the system automatically selects the corresponding multilingual smart contract template and loads the applicable terms and tax rate calculation logic. The contract code embeds a compliance check function to verify whether the transaction complies with local regulatory requirements before execution; if not, execution is blocked and adjustments are prompted.

[0047] Anomaly detection and rollback mechanisms are implemented as follows: During system operation, the anomaly detection module continuously monitors the data flow and contract execution status. When data anomalies or contract execution errors are detected, the relevant transactions are automatically suspended and a multi-signature review process is initiated. The review is completed jointly by multiple authorized nodes, and execution can only continue or be rolled back to a safe state after consensus is reached. All anomaly handling processes are recorded on the blockchain for future reference.

[0048] The system operates in a coordinated manner: In actual cross-border agricultural and sideline product trading scenarios, the above modules are activated sequentially to form a complete closed loop from data collection, price calculation, contract execution, cross-chain settlement, risk buffering, compliance checks to anomaly handling. Data is shared and logically connected between modules, ensuring that transaction prices reflect multi-dimensional market factors in real time. The execution process is automated and tamper-proof, thereby achieving efficient, secure, and fair cross-border transactions.

[0049] Example: Example Multidimensional data acquisition module example When cross-border agricultural and sideline product trade commences, the system first activates a multi-dimensional data acquisition module. This module consists of multiple distributed acquisition nodes, each connected to different types of data sources, including international market quotations, real-time exchange rates, logistics timeliness, climate indices, and quality inspection information. Upon acquiring data, each node attaches a precise timestamp and a unique data source identifier, and immediately signs the data using an elliptic curve digital signature algorithm, creating an unforgeable data credential. These signature credentials are transmitted along with the data to subsequent processing stages, ensuring that the data is verifiable and complete from source to computation. The acquisition nodes operate independently; even if one node fails, it will not affect the continued acquisition of data by other nodes, thus guaranteeing the stability and continuity of data acquisition.

[0050] Dynamic pricing calculation engine implementation example

[0051] After receiving data from the multi-dimensional data acquisition module, the dynamic pricing calculation engine comprehensively processes various factors according to preset weights. These factors include international market prices, real-time exchange rates, logistics timeliness, climate impact, quality scores, and international market fluctuations. The engine internally employs fixed-point arithmetic to avoid inconsistencies caused by floating-point operations in the blockchain environment. During the calculation process, the engine merges the values ​​of various factors into a real-time price reflecting the current market environment and converts the result into the smallest unit of pricing that smart contracts can recognize, ensuring complete consistency between the data at contract execution and the calculation result. This process guarantees that the price calculation yields the same result at any node, thereby maintaining the system's reliability and fairness.

[0052] Smart Contract Execution Module Example

[0053] The smart contract execution module is deployed in a consortium blockchain network, with the ledger jointly maintained by several nodes possessing verification qualifications. The contract logic is designed to monitor data collection events in real time. Once new data triggers price calculation, the contract immediately determines whether the buyer's account balance meets the payment conditions. If the conditions are met, the contract automatically executes a cross-chain transfer instruction, transferring funds from the buyer's account to the seller's multisignature wallet. At each step—price calculation, condition judgment, and fund transfer—the contract generates event logs. These logs are publicly available, allowing both parties to the transaction and regulatory agencies to access them at any time, ensuring transparency and traceability of the execution process. The entire execution process requires no human intervention and is completely automated by the contract, thereby improving transaction efficiency and reducing human error.

[0054] Cross-chain settlement interface examples

[0055] Before a smart contract executes a cross-chain transfer, the system calls a cross-chain settlement interface to obtain exchange rates between different fiat currencies. These exchange rates are provided by a decentralized oracle network, and the data from the oracles is signed and verified before use to prevent malicious tampering or false quotes. Once verified, the interface completes the currency conversion and fund settlement according to the exchange rate, enabling both parties to complete payments and receipts in their respective native currencies. This process eliminates the reliance on centralized banks in traditional cross-border settlements, shortens settlement time, and ensures the fairness and transparency of exchange rates.

[0056] Data verification and evidence storage module example

[0057] Before data enters the blockchain, the data verification and notarization module organizes multiple verification nodes to conduct multi-signature consensus confirmation of the data. Only when more than a preset proportion of verification nodes approve the signature of the same data will that data be written into a block and permanently notarized. This mechanism ensures that even if individual nodes are compromised or erroneous, the data content cannot be altered individually, thus preventing single-point data forgery. All verified data leaves an immutable record on the chain, providing a reliable basis for subsequent transaction execution, auditing, and dispute resolution. This module works closely with the preceding collection, calculation, and execution modules to form a complete, tamper-proof, and traceable transaction system.

[0058] 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 smart contract execution system for dynamic pricing of cross-border agricultural and sideline products, characterized in that: include: The multi-dimensional data acquisition module is used to acquire international market price data, real-time exchange rate data, logistics timeliness data, climate index data, and quality inspection data in real time. The dynamic pricing calculation engine is used to calculate the real-time price based on the collected data according to the preset dynamic pricing formula; The smart contract execution module is used to deploy and execute smart contracts containing dynamic price calculation logic on the blockchain network; A cross-chain settlement interface is used for automatic exchange and fund settlement between different fiat currencies; a data verification and notarization module is used for multi-party digital signature verification of collected data and writing the verified data into the blockchain to achieve tamper-proof notarization; the dynamic pricing formula is: The parameters are defined as described above, and all weight coefficients satisfy the normalization condition.

2. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The multidimensional data acquisition module uses distributed nodes to connect to different data sources. Each node adds a timestamp and data source identifier after acquiring the data, and uses the Elliptic Curve Digital Signature Algorithm (ECDSA) to sign it, so as to ensure the traceability and integrity of the data source.

3. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The dynamic pricing calculation engine uses fixed-point arithmetic units during the calculation process to avoid price calculation errors caused by the blockchain virtual machine's lack of support for high-precision floating-point arithmetic, and converts the result into the smallest unit of pricing that the contract can recognize after the calculation is completed.

4. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The smart contract execution module is deployed on the consortium blockchain network, and the ledger is jointly maintained by several nodes with verification qualifications. The contract logic includes: listening to data collection events, triggering price calculation, determining whether payment conditions are met, executing cross-chain transfer instructions, and generating event logs for external systems to query at each step.

5. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The cross-chain settlement interface supports automatic exchange of at least two fiat currencies, with the exchange rate derived from a decentralized oracle network. The oracle data is signed and verified before each settlement to prevent malicious price feed attacks.

6. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The data verification and storage module performs multi-signature consensus before the data is uploaded to the blockchain. Only when more than a preset proportion (such as 2 / 3) of the verification nodes confirm the signature of the same data will the data be written into the block, thereby preventing single-point data forgery.

7. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The system also includes a risk buffer fund module, which extracts transaction amounts proportionally based on historical price fluctuations and deposits them into a custodian address controlled by a smart contract. This fund is used to partially compensate affected parties in the event of extreme exchange rate fluctuations or logistical delays.

8. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The international market volatility adjustment coefficient in the dynamic pricing formula The calculation method is as follows: in Let N be the standard deviation of prices over the past N periods. The mean, This is a risk sensitivity adjustment factor, set by the contract administrator and automatically adjusted under specific conditions.

9. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The system supports multilingual smart contract templates and can automatically select applicable terms and tax rate calculation logic according to the laws and regulations of different countries. It also embeds compliance check functions in the contract code to ensure that the execution process complies with local regulatory requirements.

10. The smart contract execution system for dynamic pricing of cross-border agricultural and sideline products according to claim 1, characterized in that, The system also has an anomaly detection and rollback mechanism. When an anomaly is detected or a contract execution error is detected, the relevant transaction is automatically suspended and a multi-signature review process is initiated. Only after the review is passed can the transaction continue or be rolled back to a safe state. All anomaly handling processes are recorded on the blockchain for future reference.

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