Security data sharing and warehouse distribution collaborative optimization method based on smart contract upgrading

Abstract

The invention belongs to the technical field of smart contracts, and particularly relates to a security data sharing and warehouse distribution collaborative optimization method based on smart contract upgrading, which comprises the following steps of: 1, performing initial deployment and version identification of a smart contract; 2, contract upgrading condition and trigger mechanism configuration is carried out; multi-dimensional conditional variables are set in the smart contract and used for judging whether the contract needs to be upgraded or not, the conditional variables comprise three types of variables including compliance, security and optimization, corresponding defined upgrading conditions are established according to the specific conditional variables, and real-time monitoring of a trigger event is carried out; 3, realizing automatic generation and security verification of a new version contract; and 4, contract upgrading recording and auditing are completed. Condition judgment in contract upgrading condition and triggering mechanism configuration is optimized, accuracy is improved, contract upgrading can be triggered more intelligently according to dynamic service requirements, and flexibility and response speed of warehouse distribution collaborative operation are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart contracts, and particularly relates to a method for secure data sharing and collaborative optimization of warehousing and distribution based on smart contract upgrade. Background Art

[0002] Smart contracts involve blockchain technology. During the application process, smart contracts need to be upgraded and iterated according to requirements. However, there are still some problems in the upgrade of smart contracts in the existing technology, including that traditional methods rely on static rules and preset conditions, lack the ability of real-time adjustment and precise response, and cannot quickly adapt to rapidly changing business requirements, which affects the efficiency of warehousing and distribution collaboration. The verification process lacks intelligence and efficiency. The code verification in contract upgrade relies on manual or simple automated methods, lacks hierarchical intelligent detection, and is prone to missing potential security risks and performance problems. Summary of the Invention

[0003] The purpose of the present invention is to provide a method for secure data sharing and collaborative optimization of warehousing and distribution based on smart contract upgrade, which is used to solve the technical problems of lacking real-time adjustment and precise response ability, and the verification process lacking intelligence and efficiency in the existing technology.

[0004] The method for secure data sharing and collaborative optimization of warehousing and distribution based on smart contract upgrade includes the following steps:

[0005] I. Conduct initial deployment and version identification of the smart contract;

[0006] II. Configure contract upgrade conditions and triggering mechanisms;

[0007] Set multi-dimensional conditional variables in the smart contract to determine whether the contract needs to be upgraded. The conditional variables include three types of variables: compliance, security, and optimization. Establish corresponding defined upgrade conditions according to specific conditional variables and conduct real-time monitoring of triggering events;

[0008] III. Realize automatic generation and security verification of the new version contract;

[0009] When the upgrade condition is triggered, the system automatically generates a new version of the smart contract, and then conducts verification from three verification levels: basic compliance, security, and optimization through a defined verification mechanism;

[0010] IV. Complete contract upgrade records and audits.

[0011] Preferably, the first step includes:

[0012] 1) Modular contract design: Analyze functional requirements, clarify the core functions that the contract needs to achieve, and separately design different functional modules;

[0013] 2) Deploy proxy contracts: Adopt the proxy contract mode to maintain the call addresses of each module; configure the initial address mapping of each functional module in the proxy contract, and direct the calls of all contracts to the initial version of the specific functional module;

[0014] 3) Conduct version identification: The version identification mechanism includes: adopting semantic version control, defining a version variable in each modular smart contract to identify the current version, and establishing a version record table in the proxy contract to record the functional modules and versions upgraded each time;

[0015] 4) Security and stability testing: Conduct functional testing on each module and the proxy contract to ensure that the functions of each module interface are correct and the dynamic routing and version management logic of the proxy contract are normal;

[0016] 5) Mainnet deployment and version number registration: Deploy the proxy contract and the initial version module contract on the mainnet;

[0017] 6) Update documentation and version records: Compile contract usage instructions and interface documentation, and elaborate on the functions, call methods, and version number specifications of each module in detail.

[0018] Preferably, the second step includes:

[0019] 1) Define upgrade conditions: Based on business requirements analysis, clarify the specific situations for upgrading the contract; record and classify different upgrade trigger requirements, and establish a clear list of requirement conditions and priorities;

[0020] 2) Configure trigger event monitoring: Establish an event monitoring architecture on the blockchain or in an external system to capture key events in the system and forward them to the trigger condition determination module. Necessary events include new regulation events, data inconsistency events, and performance issue events;

[0021] 3) Configure the proxy contract for the upgrade process: Pass the result of the trigger judgment to the proxy contract, which is responsible for managing the current contract version and updating the contract address of the new version when the conditions are met;

[0022] 4) Test and optimize upgrade conditions: Conduct unit tests on different trigger conditions to ensure that each trigger event can activate the upgrade mechanism normally and avoid false triggers or incorrect condition judgments;

[0023] 5) Automatically generate upgrade record logs on the blockchain and conduct audit tracking: Automatically generate upgrade record logs on the blockchain, and record the specific details each time the trigger condition is judged and the upgrade is executed.

[0024] Preferably, during the configuration of contract upgrade conditions and trigger mechanisms, introduce a probability model for condition judgment, using the following formula:

[0025]

[0026] Among them, P(U) represents the overall probability of triggering an upgrade; P(Ci) represents the probability that each condition Ci is satisfied; Wi is the weight of condition Ci, reflecting its priority; when the overall probability exceeds the preset trigger threshold, the contract upgrade is triggered.

[0027] Preferably, the specific steps of the verification process in step three are as follows:

[0028] 1) Define the verification module and verification level: For different functional modules of the contract, establish their respective independent verification processes. The verification process includes: ① Basic compliance verification, checking data format and parameter compliance to ensure that the code meets the basic requirements of the business process and legal regulations; ② Security verification, deeply detecting potential security vulnerabilities and access permissions to ensure that there are no vulnerabilities or unauthorized behaviors during the contract operation; ③ Optimization verification, detecting the execution efficiency, resource consumption, and performance bottlenecks of the code to improve the operation efficiency and stability of the system.

[0029] 2) Establish a priority strategy: Define the verification priorities of different contracts and different modules according to the business importance and application scenarios of the contract.

[0030] 3) Hierarchical parallel verification: After the contract is generated, the system, according to the module distribution, executes the basic compliance verification, security verification, and optimization verification in parallel at different levels as needed.

[0031] 4) Dynamically adjust the hierarchical level: The system dynamically adjusts the coverage rate of each layer of verification according to the actual business needs and usage scenarios.

[0032] Preferably, in step three, various indicators in the warehousing and distribution system are monitored in real time through the hierarchical verification grading framework of the code, and the execution depth and coverage range of each verification layer are dynamically adjusted. The specific algorithm for the exception occurrence rate in the hierarchical verification grading framework of the code is as follows:

[0033]

[0034] Among them, A t represents the exception occurrence rate within the current sliding window, that is, the proportion of exception events occurring in the recent period of time, used to reflect the stability of the system at the current time point; E i represents the number of exception events observed for the i-th time within the time window. Different exception events are assigned different weights to reflect their severity; n represents the size of the sliding window, that is, the number of sampling times within the statistical time period.

[0035] T represents the preset trigger threshold. If A t > T, then increase the depth or coverage range of the security verification level; if At If ≤T, then maintain the current verification depth or reduce unnecessary checks to optimize the use of system resources.

[0036] Preferably, step three further includes the following steps:

[0037] 5) Establish a feedback mechanism and continuously optimize: After verification is completed, generate a verification report, including the results of each layer of verification and recommended optimization items; Based on the feedback of the verification report, the system automatically records and learns from past verification results through machine learning technology, continuously optimizing the hierarchical framework and verification process;

[0038] 6) Set up a fault tolerance and rollback mechanism: During operation, if the system discovers a critical problem during a certain layer of verification, the system automatically triggers the fault tolerance mechanism, pauses the subsequent verification process and performs necessary repair operations; For high-priority security issues, the system executes the logic of automatically rolling back to the old version to ensure the security of the current version;

[0039] 7) Regularly review and adjust the grading criteria: Regularly review the grading verification framework, and adjust the verification level and grading criteria in combination with the actual operation feedback.

[0040] Preferably, step four further includes the following steps:

[0041] 1) Generate an upgrade record: Each time a contract upgrade is triggered, the system automatically generates a complete record, including: upgrade time, trigger condition, version information, and executor information;

[0042] 2) Blockchain record: By writing the upgrade information into the blockchain, all upgrade records generate a new block on the blockchain;

[0043] 3) Perform version control and traceability: Establish a version mapping table on the blockchain to record the key attributes and upgrade history of each contract version;

[0044] 4) Regular audit and verification: The system regularly and automatically scans the upgrade records to confirm that all contract change records meet the specified trigger conditions to ensure compliance;

[0045] 5) Dispute resolution: During the data sharing process, when disputes or review requirements occur, call the relevant upgrade records as evidence to determine the responsibilities of all parties.

[0046] The advantages of the present invention are as follows: In the initial deployment and version identification step of the smart contract, the basic framework of the smart contract is established and the version number is recorded, laying a foundation for subsequent version upgrades. Each time a new contract is deployed, the version identification is recorded to ensure the stability and consistency of historical data. In the process of "configuring contract upgrade conditions and trigger mechanisms", the present invention enhances intelligence and responsiveness. By introducing a probability model, the condition judgment in "configuring contract upgrade conditions and trigger mechanisms" is optimized, improving the accuracy, and being able to trigger contract upgrades more intelligently according to dynamic business requirements, thereby enhancing the flexibility and response speed of warehouse distribution collaborative operations.

[0047] In the process of automatic generation and verification of the new version contract of the present invention, the intelligence and efficiency of the verification process are also improved. In the "hierarchical verification framework for code hierarchical verification", through improvements at the algorithm level, the contract code is intelligently verified at the hierarchical level, not only improving the verification efficiency, but also being able to more accurately identify potential security risks and errors, thereby ensuring the reliability and security of the contract.

[0048] In the step of contract upgrade record and audit of the present invention, it is ensured that all contract upgrade processes have transparent records to meet audit and compliance requirements. With the tamper-proof feature of the blockchain, the system realizes the full traceability of contract upgrades and provides trust guarantee for secure sharing in warehouse and distribution collaboration. Brief Description of the Drawings

[0049] Figure 1 It is a schematic flow chart of a method for optimizing secure data sharing and warehouse distribution collaboration based on smart contract upgrade of the present invention. Detailed Embodiment

[0050] The following is a more detailed description of the specific embodiments of the present invention with reference to the drawings through the description of the embodiments, so as to help those skilled in the art have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention.

[0051] As Figure 1 shown, the present invention provides a method for optimizing secure data sharing and warehouse distribution collaboration based on smart contract upgrade, including the following steps.

[0052] I. Perform the initial deployment and version identification of the smart contract.

[0053] This step is used to ensure the systematization and standardization of the initial deployment and version identification, and can ensure the stability, upgradability and version traceability of the contract. The following are the specific steps of this step:

[0054] 1) Modular contract design: Analyze the functional requirements, clarify the core functions that the contract needs to implement (such as permission control, data sharing, consensus mechanism, etc.), and design different functional modules separately. In this way, the contract is decomposed into functional modules such as permission control, data sharing, and exception detection. These functional modules are independently upgradable and can be combined with each other to form different contracts, thus enabling the smart contract to form a modular architecture. Define unified interfaces for each functional module (such as getData(), setPermission(), etc.) to ensure that when upgrading a certain functional module in the future, it does not affect the calls and operations of other functional modules. Based on business requirements, use UML diagrams or flowcharts to clarify the structure and call relationships of each module, and when writing contract code, use abstract contracts or interfaces to define the standard interfaces of each functional module.

[0055] 2) Deploy a proxy contract: Adopt the proxy contract pattern to maintain the call addresses of each functional module. Specifically: Configure the initial address mapping of each functional module in the proxy contract, and direct all contract calls to the initial version of the specific functional module. The proxy contract dynamically calls the corresponding functional module according to the name or function identifier of the functional module, ensuring that the call operation is flexible and controllable. Deploy the proxy contract code on the blockchain platform and configure the initial mapping relationship of each functional module. Use the delegatecall method of the proxy contract so that the proxy contract can replace the corresponding functional module by updating the mapping in the future. Using this method can achieve contract upgrades, and a new version of the contract is automatically generated during the upgrade process.

[0056] 3) Perform version identification: The version identification mechanism includes: Adopt semantic version control (for example, v1.0.0, where the major version is used for major changes, the minor version is used for function updates, and the patch version is used for security patches). Define a version variable in each modular smart contract to identify the current version, and establish a version record table in the proxy contract to record the functional modules and versions upgraded each time. In the version record table of the proxy contract, record information such as the timestamp and change reason for the upgrade of each module for subsequent traceability and auditing. Set and initialize the version variable in the contract code, design the version record structure in the proxy contract, and use mappings or arrays to store the version change information of each module.

[0057] 4) Security and Stability Testing: Conduct functional testing on each module and proxy contract to ensure the correct functionality of each module interface and the normal dynamic routing and version management logic of the proxy contract. Perform a security audit to check for common vulnerabilities (such as re-entrancy attacks, overflows, authorization vulnerabilities, etc.) in the contract and simulate malicious calls on the test chain for testing. Conduct stress testing on the proxy contract on the test network to verify the call performance and stability of the proxy under high-frequency calls and simultaneous calls from multiple users. Write test scripts using a test framework (such as Truffle or Hardhat), including unit tests, security tests, and stress tests, and verify the stability and security of the contract on the test chain.

[0058] 5) Mainnet Deployment and Version Number Registration: Deploy the proxy contract and the initial version module contract on the mainnet. After deployment, register the version numbers and contract addresses of all modules in the proxy contract. Register the initial version numbers of each module in the storage structure of the mainnet proxy contract to form an initial version record. After deployment, verify the contract addresses, version numbers, and module mapping relationships again to ensure that all configurations and records are accurate. Use a blockchain explorer or transaction record query tool to ensure that all module addresses and version numbers have been correctly registered and are effective; conduct transaction confirmations on the blockchain to record all operations.

[0059] 6) Documentation and Version Record Update: Write contract usage instructions and interface documentation, detailing the functionality, call methods, and version number specifications of each module. Establish a version log file outside the blockchain to record the functional changes, bug fixes, and upgrade reasons for each version. Backup information such as contract code, deployment transactions, and version logs and store them in an externally controlled file system for subsequent auditing and compliance checks. Write contract documentation, including interface descriptions, call examples, and usage guides, generate a version log, and back it up to a controlled file system using a version control platform (such as Git).

[0060] II. Configure the contract upgrade conditions and trigger mechanisms.

[0061] Set multi-dimensional conditional variables in the smart contract to determine whether the contract needs to be upgraded. The conditional variables include three types: basic compliance, security, and optimization. The specific conditions usually include factors such as changes in business requirements, updates in regulations, improvement in data security level, and contract performance. For common requirements in the warehousing and distribution scenario, such as "updating the distribution process", "adjusting the inventory security alarm logic", or "updating the data privacy policy", configure these conditions in the contract and assign priorities so that higher-priority conditions are more likely to trigger contract upgrades. Adopt adaptive conditional threshold settings to dynamically adjust the sensitivity of condition triggering. For the data security level, the triggering threshold can be automatically increased or decreased according to the recent system access frequency and the number of risk events, thereby reducing the frequency of unnecessary contract upgrades. The specific steps are as follows:

[0062] 1) Define upgrade conditions: Based on business requirements analysis, clarify the specific situations for upgrading the contract. For example, when new regulations are introduced, business processes change, or technology is updated, contract upgrades need to be triggered (corresponding to the compliance conditional variable). When compliance requirements such as data privacy, regulatory policies, and internal company compliance change, the contract logic may need to be adjusted to trigger an upgrade (corresponding to the compliance conditional variable). When the system detects anomalies (such as data inconsistency, shared node disconnection, contract performance degradation, etc.) or discovers security vulnerabilities, upgrade requirements should also be triggered (corresponding to the security conditional variable or optimization conditional variable).

[0063] Record and classify different upgrade trigger requirements, and establish a clear list of requirement conditions and priorities, which helps to formulate corresponding logics and trigger conditions.

[0064] During the process of "configuring contract upgrade conditions and trigger mechanisms", in order to enhance the intelligence and responsiveness of warehousing and distribution collaborative operations, some probability models can be introduced to improve the accuracy of condition judgment. Specifically, the following formula is used:

[0065]

[0066] Among them, P(U) represents the overall probability of triggering an upgrade; P(Ci) represents the probability that each condition Ci is satisfied; Wi is the weight of condition Ci, reflecting its priority.

[0067] Assume that conditions such as the introduction of new regulations, frequent occurrence of abnormal events, and sharp increase in data access frequency coexist. Calculate the overall probability of triggering an upgrade through the probability model. If the overall probability exceeds the preset triggering threshold of 0.7, then trigger the contract upgrade. In this way, the triggering strategy can be dynamically adjusted according to the probability of condition changes, reducing unnecessary contract upgrades.

[0068] 2) Configure trigger event monitoring: Establish an event monitoring framework on the blockchain or in an external system to capture key events in the system (such as transaction failures, node anomalies, etc.) and forward them to the trigger condition determination module. Define necessary events in the smart contract, such as NewRegulationEvent (new regulation event), DataMismatchEvent (data inconsistency event), PerformanceIssueEvent (performance issue event), etc. Connect to external data sources (such as logistics systems, inventory management systems) and blockchain oracles, and pass external business change data into the contract trigger condition module. Define and publish event codes in the smart contract, use blockchain oracles or APIs to monitor and forward events, and achieve real-time monitoring of business and system status.

[0069] 3) Configure the proxy contract for triggering the upgrade process: Pass the result of the trigger judgment to the proxy contract (ProxyContract). The proxy contract is responsible for managing the current contract version and updating the contract address of the new version when the conditions are met. When the proxy contract switches versions, record information such as the comparison between the old and new versions, trigger conditions, and change time for future auditing and traceability. Before performing the upgrade, ensure the backup of the current version contract and data. If the new version executes abnormally, be able to switch back to the old version through the proxy contract to maintain business continuity. Implement a switching function in the proxy contract, including multi-version switching records, and use event publishing to announce the switching result for easy monitoring by users and the system.

[0070] 4) Test and optimize upgrade conditions: Conduct unit tests on different trigger conditions to ensure that each trigger event can activate the upgrade mechanism normally and avoid false triggers or incorrect condition judgments. Simulate real business scenarios and abnormal situations to verify whether the system can respond correctly and trigger upgrades as expected under multi-condition judgments. Evaluate the performance of the trigger mechanism in the test environment to ensure that the condition judgment algorithm does not consume too many resources and affect the running efficiency of the contract. Use a test framework to write contract unit and integration tests, including different scenarios of trigger conditions, and repeatedly verify the stability of the trigger process.

[0071] 5) Automatically record upgrades and audit trails: Automatically generate upgrade record logs on the blockchain. Each time the trigger condition is judged and the upgrade is executed, record details such as specific judgment conditions, version information, and operating personnel. Configure audit permissions for all contract upgrade operations to allow auditors to query and trace all historical upgrade records on the blockchain to ensure the transparency and compliance of the system. After the contract is upgraded, the system will automatically notify relevant parties and issue warnings to help keep abreast of the upgrade dynamics in a timely manner.

[0072] III. Automatically generate and verify the new version of the contract. When the upgrade condition is triggered, the system automatically generates the new version of the smart contract. After generating the new version of the smart contract, the system confirms that the contract has no errors or vulnerabilities through a series of verifications (such as integrity checks of contract code, compliance tests, etc.), ensuring that the contract meets the security standards before being formally applied. Generate and verify the security of the new contract to prevent potential data security risks brought by contract upgrades. Utilize the automated code generation and verification mechanism of the smart contract to make the system upgrade more secure and reliable, avoiding errors and risks that may be brought by manual deployment. To improve the efficiency of contract generation and verification, this step introduces a hierarchical framework for layered code verification, which optimizes the process of smart contract verification to a certain extent. The specific steps of the verification process in this step are as follows:

[0073] 1) Define the verification module and verification level: For different functional modules of the contract, this step establishes independent verification processes respectively, such as the "transaction management module", "storage module", "permission control module", etc., and the verification levels applied to different modules are flexibly selected according to business needs. The verification process includes three levels: ① Basic compliance verification to ensure that the code meets the basic requirements of the business process and legal regulations, mainly checking data formats, parameter compliance, etc. ② Security verification to deeply detect potential security vulnerabilities and access permissions to ensure that no vulnerabilities or unauthorized behaviors occur during the contract operation. ③ Optimization verification to detect the execution efficiency, resource consumption, performance bottlenecks, etc. of the code to improve the operation efficiency and stability of the system.

[0074] 2) Establish a priority strategy: Define the verification priorities of different contracts and different modules according to the business importance and application scenarios of the contract. For example, for the "transaction management module", security verification is given priority to ensure the security of fund circulation. For the "data storage module", basic compliance verification is given priority to ensure the correct data format. If the application scenario or usage frequency of the contract changes, this step can also set the verification level to automatically adjust the verification priority, verification threshold, and verification frequency according to variables. For example, during peak periods, increase the verification intensity for the transaction module, and during low-load periods, increase the optimization verification frequency.

[0075] 3) Hierarchical parallel verification: After the contract is generated, the system, according to the module distribution, hierarchically and parallelly executes the basic compliance verification, security verification, and optimization verification as needed. For example: The basic compliance verification is executed first to check whether the contract complies with business and legal standards. After passing the verification, it enters the next level. The security verification is parallel to the basic compliance verification, performing operations such as permission checking and security vulnerability detection on each module. The optimization verification is executed after the basic verification and security verification pass, optimizing the contract's operation efficiency and resource utilization. The above example reduces the overall verification time by hierarchically and parallelly verifying the basic compliance verification and security verification, giving priority to completing the inspection of key modules, and ensuring both efficiency and security.

[0076] 4) Dynamically adjust the hierarchical level: The system dynamically adjusts the coverage rate of each layer of verification according to actual business needs and usage scenarios. In this way, when regulations change, business is updated, or performance fluctuates, the system can increase the coverage of security or optimization verification. If a certain module frequently has exceptions, the system will preferentially increase the security and optimization verification frequencies of this module to ensure business stability.

[0077] 5) Establish a feedback mechanism and continuously optimize: After the verification is completed, the system generates a verification report, including the results of each layer of verification and recommended optimization items. Based on the feedback of the verification report, the system automatically records and learns from past verification results through machine learning technology, continuously optimizing the hierarchical framework and verification process. When common verification failure reasons or reusable improvement solutions are detected, the system automatically adjusts the verification rules of the corresponding module to improve the efficiency and accuracy of the next verification.

[0078] 6) Set up a fault tolerance and rollback mechanism: During operation, if the system discovers a key problem during a certain layer of verification, the system will automatically trigger the fault tolerance mechanism, pause the subsequent verification process, and perform necessary repair operations. For high-priority security issues, the system will execute the logic of automatically rolling back to the old version to ensure the security of the current version. After the repair is completed, the system will re-trigger the verification process to ensure that the problem has been solved.

[0079] 7) Regularly review and adjust the grading criteria: Regularly review the hierarchical verification framework, and adjust the verification level and grading criteria in combination with actual operation feedback. If new laws, regulations, or security standards change, the system will automatically update the basic compliance and security verification rules to ensure the long-term security and compliance of the contract.

[0080] The "Hierarchical Framework for Code Layered Verification" further improves the intelligence and efficiency of the verification process through improvements at the algorithm level, especially in aspects such as priority allocation, verification optimization, and dynamic adjustment. This algorithm aims to dynamically adjust the execution depth and coverage of each verification layer by real-time monitoring various metrics in the warehousing and distribution systems to optimize the allocation and use of verification resources. This dynamic adjustment mechanism effectively responds to business requirements and security changes, enhancing the flexibility and adaptability of the system. The specific algorithm for the exception occurrence rate in the "Hierarchical Framework for Code Layered Verification" is as follows:

[0081]

[0082] Among them, A t represents the exception occurrence rate within the current sliding window, that is, the proportion of exception events occurring in the recent period, which is used to reflect the stability of the system at the current time point; E i represents the number of exception events observed for the i-th time within the time window. Different exception events can be assigned different weights to reflect their severity; n represents the size of the sliding window, that is, the number of sampling times within the statistical time period.

[0083] T represents the preset trigger threshold. When A t exceeds T, deeper verification is triggered to cope with potential risks that may exist currently. Compare A t with the preset trigger threshold T. If A t > T, increase the depth or coverage of the security verification level; if A t ≤ T, maintain the current verification depth or reduce unnecessary checks to optimize the use of system resources.

[0084] For example: If a relatively large number of exception events have occurred in the past 24 hours, resulting in the exception occurrence rate A t exceeding the threshold T = 0.05, the system will immediately trigger an additional verification layer to enhance exception checking and security verification. This hierarchical verification framework can provide a more flexible, secure, and efficient verification process during the generation, verification, application, and maintenance of smart contracts, while minimizing verification costs and time.

[0085] IV. Complete contract upgrade records and audits. Each contract upgrade generates an immutable upgrade record on the blockchain, including the upgrade time, trigger conditions, version information, and executor, etc. These records facilitate system audits in the future or provide a compliance basis in case of disputes. Ensure that all contract upgrade processes have transparent records to meet audit and compliance requirements. With the immutable feature of the blockchain, the system achieves full traceability of contract upgrades and provides trust guarantee for secure sharing in warehousing and distribution collaboration. The specific steps of this step are as follows:

[0086] 1) Generate upgrade records: Each time a contract upgrade is triggered, the system automatically generates a complete record containing the following key information:

[0087] Upgrade time: Record the exact upgrade time for tracing the operation point.

[0088] Trigger conditions: Mark the conditions based on which this upgrade is made, such as regulatory changes, performance anomalies, etc.

[0089] Version information: Record the detailed information of the old version and the new version, including the version number and related descriptions.

[0090] Executor information: Record the unique identifier of the executor (or execution program) of this contract upgrade to ensure the transparency of the upgrade process.

[0091] The record generation process is automatically triggered by the smart contract to ensure that no key information is missed.

[0092] 2) Blockchain record: By writing the upgrade information into the blockchain, immutability is achieved. All upgrade records generate a new block on the blockchain. The distributed storage feature of the blockchain can ensure the security and immutability of these records. Each record is attached with a timestamp to ensure that the specific generation time of the record can be traced. The blockchain generates a unique hash value for each upgrade record to ensure that the record cannot be tampered with after being uploaded to the chain.

[0093] 3) Conduct version control and traceability: Establish a version mapping table on the blockchain to record the key attributes and upgrade history of each contract version. This table is used to track the changes of each version for easy query. By viewing the version mapping table, the upgrade path of each contract can be clearly traced. The system can check the trigger conditions and compliance of the upgrade according to the change records of each version.

[0094] 4) Regular Audits and Verifications: The system automatically scans the upgrade records regularly to confirm that all contract change records meet the specified trigger conditions, ensuring compliance. For reviews in some specific situations, the system can generate detailed log files to support manual verification by auditors. These logs can include the specific details of each upgrade, including trigger conditions, upgrade processes, and execution results.

[0095] 5) Dispute Resolution: During the data sharing process, when disputes or review requirements arise, relevant upgrade records can be called as evidence. For example, when there are disputes over data access rules or permissions, it is possible to trace back to the specific contract version upgrade records to determine the responsibilities of all parties. Basis for Compliance Tracing: Since contract upgrade records are immutable, they can be used as the basis for regulatory compliance and audit.

[0096] The present invention has been described exemplarily in conjunction with the accompanying drawings. Obviously, the specific implementation of the present invention is not limited by the above methods. As long as various non-substantive improvements are made using the inventive concept and technical solution of the present invention, or the inventive concept and technical solution of the present invention are directly applied to other occasions without improvement, they are all within the protection scope of the present invention.

Claims

1. A method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade, characterized in that: The following steps are involved:

1. Initial deployment and version identification of smart contracts; 2. Configure contract upgrade conditions and trigger mechanisms; Set multi-dimensional conditional variables in the smart contract to determine whether the contract needs to be upgraded. The conditional variables include compliance, security, and optimization. According to the specific conditional variables, corresponding definition upgrade conditions are established and trigger events are monitored in real time.

3. Automatically generate and verify the new version of the contract; When the upgrade conditions are triggered, the system automatically generates a new version of the smart contract, and then verifies it from three levels: basic compliance, security, and optimization through a defined verification mechanism; 4. Complete contract upgrade records and audits.

2. According to claim 1, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade, characterized in that: The step one includes: 1) Modular contract design: Analyze functional requirements, clarify the core functions that the contract needs to implement, and design different functional modules separately; 2) Deployment of proxy contracts: Use the proxy contract model to maintain the calling address of each module; configure the initial address mapping of each functional module in the proxy contract, and point all contract calls to the initial version of the specific functional module; 3) Version identification: The version identification mechanism includes: using semantic version control, defining a version variable in each modular smart contract to identify the current version, and establishing a version record table in the proxy contract to record the functional modules and versions of each upgrade; 4) Security and stability testing: Perform functional testing on each module and proxy contract to ensure that the functions of each module interface are correct and the dynamic routing and version management logic of the proxy contract are normal; 5) Mainnet deployment and version number registration: deploy the proxy contract and initial version module contract on the mainnet; 6) Documentation and version record update: Write contract instructions and interface documents, detailing the functions, calling methods and version number specifications of each module.

3. According to claim 1, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade, characterized in that: The step 2 includes: 1) Define upgrade conditions: Based on business needs analysis, clarify the specific circumstances of the upgrade contract; record and classify different upgrade trigger requirements, and establish a clear list of requirements and priorities; 2) Configure trigger event monitoring: Establish an event monitoring architecture on the blockchain or in an external system to capture key events in the system and forward them to the trigger condition determination module. Necessary events include new regulations, data inconsistency, and performance issues. 3) Configuration of the proxy contract that triggers the upgrade process: The result of the trigger judgment is passed to the proxy contract. The proxy contract is responsible for managing the current contract version and executing the new version of the contract address update when the conditions are met; 4) Testing and optimization of upgrade conditions: Unit testing of different trigger conditions is performed to ensure that each trigger event can normally activate the upgrade mechanism and avoid false triggering or condition judgment errors; 5) Automated upgrade records and audit trails: Automatically generate upgrade record logs on the blockchain, and record specific details each time a condition is triggered and an upgrade is executed.

4. A method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade according to claim 1 or 3, characterized in that: In the process of configuring the contract upgrade conditions and trigger mechanism, a probability model for conditional judgment is introduced, using the following formula: Among them, P(U) represents the overall probability of triggering an upgrade; P(Ci) represents the probability that each condition Ci is met; Wi is the weight of condition Ci, reflecting its priority; if the overall probability exceeds the preset trigger threshold, the contract upgrade is triggered.

5. According to claim 1, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade, characterized in that: The specific steps of the verification process in step 3 are as follows: 1) Define verification modules and verification levels: This step establishes independent verification processes for different functional modules of the contract. The verification process includes: ① Basic compliance verification, checking data format and parameter compliance to ensure that the code meets the basic needs of the business process and legal and regulatory requirements; ② Security verification, in-depth detection of potential security vulnerabilities and access rights to ensure that there are no vulnerabilities or unauthorized behavior when the contract is running; ③ Optimization verification, detecting code execution efficiency, resource consumption, performance bottlenecks, and improving system operation efficiency and stability; 2) Establish a priority strategy: Define the verification priorities of different contracts and modules based on the business importance and application scenarios of the contract; 3) Layered parallel verification: After the contract is generated, the system will perform basic compliance verification, security verification and optimization verification in layers and in parallel as needed according to the module distribution; 4) Dynamically adjust the layering level: The system dynamically adjusts the coverage of each layer of verification based on actual business needs and usage scenarios.

6. According to claim 5, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade is characterized in that: In step 3, various indicators in the warehousing and distribution system are monitored in real time through the hierarchical framework of code layered verification, and the execution depth and coverage of each verification layer are dynamically adjusted. The specific algorithm of the abnormality occurrence rate in the hierarchical framework of code layered verification is as follows: Among them, A t Indicates the abnormal occurrence rate in the current sliding window, that is, the proportion of abnormal events that occurred in the recent period of time, which is used to reflect the stability of the system at the current time point; E i It represents the number of abnormal events observed for the i-th time in the time window. Different abnormal events are assigned different weights to reflect their severity. n represents the size of the sliding window, that is, the number of samples in the statistical time period. T represents the preset trigger threshold. If A t >T, then increase the depth or coverage of the security verification level; if A t ≤T, maintain the current verification depth or reduce unnecessary checks to optimize the use of system resources.

7. According to claim 5, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade is characterized in that: The step three also includes the following steps: 5) Establish a feedback mechanism and continuously optimize: After the verification is completed, a verification report is generated, which includes the verification results and recommended optimization items for each layer. Based on the feedback from the verification report, the system automatically records and learns from past verification results through machine learning technology, and continuously optimizes the layered framework and verification process. 6) Set up fault tolerance and rollback mechanism: During operation, if the system finds a critical problem in a certain layer of verification, the system automatically triggers the fault tolerance mechanism, suspends the subsequent verification process and performs necessary repair operations; for high-priority security issues, the system executes the logic of automatically rolling back to the old version to ensure the security of the current version; 7) Regularly review and adjust grading standards: Regularly review the grading verification framework, and adjust the verification level and grading standards based on actual operation feedback.

8. According to claim 1, a method for secure data sharing and warehouse-distribution collaborative optimization based on smart contract upgrade, characterized in that: The step 4 also includes the following steps: 1) Generate upgrade records: Each time a contract upgrade is triggered, the system will automatically generate a complete record, including: upgrade time, trigger conditions, version information and executor information; 2) Blockchain records: By writing the upgrade information into the blockchain, all upgrade records generate a new block on the blockchain; 3) Perform version control and traceability: Establish a version mapping table on the blockchain to record the key attributes and upgrade history of each contract version; 4) Regular audit and verification: The system automatically scans upgrade records regularly to confirm that all contract change records meet the specified trigger conditions to ensure compliance; 5) Dispute Resolution: During the data sharing process, if there is a dispute or review need, the relevant upgrade records will be used as evidence to determine the responsibilities of each party.

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