Power equipment supply chain data interconnection method, system, equipment and medium

Abstract

The invention relates to an electric power equipment supply chain data interconnection method, system, device and medium, and belongs to the technical field of electric power equipment supply chain management.The method comprises the following steps that supply chain real-time data and extreme weather real-time data are collected, and data format unified processing is carried out; encrypting the data, encrypting the data in a block, and linking the data according to a time sequence to form a block chain; point-to-point transmission is carried out on the data, and meanwhile real-time cloud storage and redundant backup are carried out on the data through the cloud technology; and analyzing the encrypted data, and when an exception occurs, triggering the smart contract to realize interconnection sharing and feedback of the data. Through the block chain distributed account book, the intelligent contract, the Internet of Things sensor and the extreme weather risk management technology, the accuracy, transparency and safety of data interaction of all main bodies in the supply chain are improved, and especially the strain capacity and efficiency of the system are improved under the extreme weather condition.

Description

Technical Field

[0001] The present disclosure belongs to the technical field of power equipment supply chain management, and in particular, relates to a power equipment supply chain data interconnection method, system, device and medium. Background Art

[0002] As climate change intensifies, extreme weather events (such as heavy rain, typhoons, and blizzards) are having an increasingly significant impact on the power equipment supply chain. These extreme weather events may lead to logistics disruptions, equipment damage, and construction delays, which seriously threaten the stability and continuity of the supply chain. In existing technologies, supply chain systems lack effective prediction mechanisms and response strategies when facing weather risks. Due to the inconsistency of the systems and data standards used by the various participants in the supply chain, it is difficult for managers to quickly dispatch resources and adjust plans under extreme weather conditions, which in turn affects the overall responsiveness of the supply chain.

[0003] The existing problems are generally as follows: Inconsistent data formats make it difficult to share: The various parties involved in the supply chain (such as suppliers, manufacturers, logistics providers, etc.) usually use different information systems and data standards, resulting in a lack of a unified format during data transmission, making it difficult to effectively share information. For example, the supplier's order management system may be incompatible with the logistics provider's transportation system, and information on logistics disruptions caused by extreme weather cannot be transmitted smoothly, reducing the response speed and efficiency of the supply chain.

[0004] Insufficient data security and transparency, and lack of trust: Transaction, logistics and equipment data in the power equipment supply chain lack effective security mechanisms during transmission. The impact of extreme weather may further increase the risk of data tampering, leading to a lack of trust among supply chain participants and an inability to effectively trace and monitor key data.

[0005] Difficulty in supply chain tracking and monitoring: Under the influence of extreme weather, it is more difficult to monitor the power equipment supply chain. The existing supply chain system cannot effectively track and monitor the real-time status of each link, especially when facing risks such as logistics delays and equipment damage, and lacks the ability to respond and handle problems in a timely manner.

[0006] Therefore, it is necessary to provide a new power equipment supply chain data interconnection method, system, device and medium to solve the above technical problems. Summary of the invention

[0007] The purpose of this disclosure is to provide a method, system, device and medium for interconnecting data in the power equipment supply chain in order to solve the above problems. In order to solve the above problems, the introduction of blockchain technology, especially its distributed ledger and smart contract technology, provides an effective solution. These technologies can ensure the transparency and security of supply chain data and realize the automated scheduling of supply chain operations through smart contracts.

[0008] Distributed ledger technology: The distributed ledger of blockchain provides an unalterable data storage method for each node in the supply chain, ensuring data transparency and security. Each participant can hold the same copy of the ledger, minimizing the impact of extreme weather events in the supply chain on data integrity.

[0009] Smart contract technology: Smart contracts write contract terms into the blockchain in the form of code, automatically executing contracts and supply chain scheduling operations when certain conditions (such as extreme weather warnings) are triggered. This automated processing method can effectively improve the efficiency of contract execution, avoid delays caused by manual intervention due to extreme weather, and ensure the continuity of the supply chain.

[0010] The present invention achieves the above-mentioned purpose through the following technical solutions: A method for interconnecting data in a power equipment supply chain, comprising the following steps: Collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format; The data with unified format is asymmetrically encrypted in the block and linked in time series; The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and the data is stored in the cloud in real time and backed up redundantly through cloud technology; Analyze the encrypted data to determine the operating status of the supply chain; when an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

[0011] As a further optimization solution of the present disclosure, the real-time supply chain data includes product information and transaction records in the power equipment supply chain; The real-time extreme weather data includes typhoon information, rainstorm information and blizzard information.

[0012] As a further optimization solution of the present disclosure, the unified data format processing includes: Use hash functions to convert data into a string in a unified format.

[0013] As a further optimization scheme of the present disclosure, the data after the unified format processing is asymmetrically encrypted in the block and linked in time series, including: The data with unified format is processed through asymmetric encryption and encapsulated in a block with a timestamp to form a new node and link to the main chain; the block consists of a block header and a block body, which contains device operation data, public key and private key; the block nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain, and the remaining nodes determine whether the block is legal through the information in the block header. If the verification is successful, the data can be decrypted through the private key.

[0014] As a further optimization solution of the present disclosure, the encrypted data is transmitted point-to-point through a partially decentralized network of the blockchain, and the data is stored in the cloud in real time and backed up redundantly through cloud technology, including: The encrypted data is transmitted point-to-point through the decentralized network of blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized. During the data transmission process, cloud technology is used to back up the processed data in real time; real-time data on extreme weather conditions is preferentially stored on secure and redundant cloud servers; A multi-pair mapping model is used to segment and encrypt the data, which is then distributed and stored on cloud servers. Redundant backup is also added for block nodes affected by extreme weather.

[0015] As a further optimization solution of the present disclosure, the encrypted data is analyzed to determine the operation status of the supply chain; when an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms, including: Real-time analysis is performed on encrypted data to determine the current activity status of the supply chain. When an abnormality occurs, including equipment interruption, logistics delay, or weather warning reaching a preset level, the smart contract is automatically triggered, the preset contract terms are automatically executed, and emergency dispatch of equipment and logistics is carried out. After the smart contract is run, the data is automatically shared and fed back, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

[0016] As a further optimization solution of the present disclosure, the smart contract can dynamically modify the contract terms according to meteorological data and automatically optimize and adjust the supply chain operations.

[0017] A power equipment supply chain data interconnection system, comprising: Data collection module, used to collect real-time data of supply chain and extreme weather conditions, and process the data in a unified format; The data security management module is used to encrypt the data after the unified format through asymmetric encryption, encrypt it in the block, and link it in time series to form a blockchain; The data storage module is used to transmit encrypted data point-to-point through the partially decentralized network of the blockchain, and to perform real-time cloud storage and redundant backup of data through cloud technology; The data sharing module is used to analyze the encrypted data and determine the operating status of the supply chain. When an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

[0018] As a further optimization solution of the present disclosure, the real-time supply chain data includes product information and transaction records in the power equipment supply chain; The real-time extreme weather data includes typhoon information, rainstorm information and blizzard information.

[0019] As a further optimization solution of the present disclosure, the data acquisition module performs unified data format processing, including: Use hash functions to convert data into a string in a unified format.

[0020] As a further optimization scheme of the present disclosure, the data security management module processes the data after the unified format through asymmetric encryption, encrypts it in the block, and links it in time series to form a blockchain, including: The data with unified format is processed through asymmetric encryption and encapsulated in a block with a timestamp to form a new node and link to the main chain; the block consists of a block header and a block body, which contains device operation data, public key and private key; the block nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain, and the remaining nodes determine whether the block is legal through the information in the block header. If the verification is successful, the data can be decrypted through the private key.

[0021] As a further optimization scheme of the present disclosure, the data storage module transmits the encrypted data point-to-point through a partially decentralized network of the blockchain, and performs real-time cloud storage and redundant backup of the data through cloud technology, including: The encrypted data is transmitted point-to-point through the decentralized network of blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized. During the data transmission process, cloud technology is used to back up the processed data in real time; real-time data on extreme weather conditions is preferentially stored on secure and redundant cloud servers; A multi-pair mapping model is used to segment and encrypt the data, which is then distributed and stored on cloud servers. Redundant backup is also added for block nodes affected by extreme weather.

[0022] As a further optimization solution of the present disclosure, the encrypted data is analyzed to determine the operation status of the supply chain; when an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms, including: Real-time analysis is performed on encrypted data to determine the current activity status of the supply chain. When an abnormality occurs, including equipment interruption, logistics delay, or weather warning reaching a preset level, the smart contract is automatically triggered, the preset contract terms are automatically executed, and emergency dispatch of equipment and logistics is carried out. After the smart contract is run, the data is automatically shared and fed back, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

[0023] As a further optimization solution of the present disclosure, the smart contract can dynamically modify the contract terms according to meteorological data and automatically optimize and adjust the supply chain operations.

[0024] An electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, for storing computer programs; The processor is used to execute the program stored in the memory to realize the data interconnection method of the power equipment supply chain.

[0025] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for interconnecting data in a power equipment supply chain.

[0026] The beneficial effects of the present disclosure are: 1. Deep integration of distributed ledgers and smart contracts: The distributed ledger and smart contract technology of blockchain can ensure data synchronization, security and immutability among supply chain nodes. Extreme weather warning information will automatically trigger supply chain adjustment operations through smart contracts, such as adjusting logistics routes and reallocating equipment inventory. This intelligent scheduling and management method can significantly improve the response speed and overall coordination efficiency of the supply chain.

[0027] 2. Dynamic permission management and selective sharing of smart contracts: The smart contracts disclosed in this disclosure can not only automatically execute supply chain contracts, but also provide a flexible permission management mechanism, allowing supply chain participants to adjust data access rights according to their roles and needs. In extreme weather conditions, smart contracts can automatically share key data with relevant parties, such as logistics delay warnings and equipment status information, to enhance the cooperation and response capabilities of all parties in the supply chain.

[0028] 3. Abnormal data monitoring and adaptive correction considering extreme weather risks: This paper combines IoT sensors and weather warning systems to monitor and evaluate data under extreme weather conditions in real time. When an anomaly is detected (such as equipment damage or logistics delays), the system automatically triggers a correction mechanism to ensure data security and consistency through blockchain timestamps, hash verification, and the Byzantine Fault Tolerant consensus mechanism (PBFT), and sends an alert to relevant parties.

[0029] 4. Asymmetric encryption and signature mechanism improves data security: This paper uses asymmetric encryption technology to ensure the security of data transmission and storage in the power equipment supply chain. Even under extreme weather conditions, the transmission and storage of data in the blockchain are still protected, and the integrity and confidentiality of the data are ensured through digital signatures and encryption technology.

[0030] 5. Combination of scenario-based distributed network and cloud storage: Combining the decentralized network of blockchain with cloud technology, point-to-point transmission and real-time backup storage of supply chain data can be achieved, ensuring that even if some nodes fail due to extreme weather, supply chain data can still be recovered from the cloud server, ensuring the stability and reliability of the system.

[0031] 6. Consensus mechanism based on extreme weather scenario optimization: This disclosure uses an optimized Byzantine Fault Tolerant consensus mechanism (PBFT), which is particularly suitable for multi-node, high-concurrency scenarios in the power equipment supply chain under the influence of extreme weather. This consensus mechanism can quickly process weather risk information in the supply chain and ensure efficient synchronization of data between nodes, ensuring that even if some nodes fail, the supply chain data remains consistent.

[0032] 7. Hash function unifies data format and timestamp mechanism: The hash function in this disclosure ensures the uniqueness and consistency of supply chain data through unified format conversion and timestamp mechanism. The timestamp records the source and time of the data, so that each link of the supply chain can still achieve accurate tracking and verification of data under extreme weather conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 is a method flow chart in an embodiment of the present disclosure; Figure 2 is a block diagram of the system working principle in an embodiment of the present disclosure; Figure 3 It is a block diagram of the device structure in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0035] like Figure 1 As shown, a method for interconnecting data of a power equipment supply chain includes the following steps: Collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format; The data with unified format is asymmetrically encrypted in the block and linked in time series; The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and the data is stored in the cloud in real time and backed up redundantly through cloud technology; Analyze the encrypted data to determine the operating status of the supply chain; when an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

[0036] Blockchain real-time data collection and timestamp mechanism: The real-time data generated by all participants in the power equipment supply chain during the activities are collected through blockchain technology, and the data is converted into a unified format string using a hash function. The data is encapsulated in a timestamped block to form a new node and link to the main chain. At the same time, extreme weather factors are introduced into real-time data collection, and extreme weather warning information (such as typhoons, heavy rains, blizzards, etc.) is collected in real time through IoT sensors or third-party meteorological services. These weather data are timestamped together with equipment and logistics data to form block nodes to ensure accurate recording of data transmission and equipment status under the influence of extreme weather. By combining weather warnings and supply chain data, potential risk points can be identified in advance, providing data support for subsequent scheduling and emergency response.

[0037] Data encryption and storage: After data collection is completed, it is processed through asymmetric encryption. The data is encrypted in the block and linked in time series. The block consists of a block header and a block body, which contains equipment operation data, public key, private key, etc. The nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain. Other nodes determine whether the block is legal through the block header information. If the verification is passed, the data can be decrypted through the private key. For high-risk data collected during extreme weather (such as logistics disruptions, equipment failures, etc.), a higher level of encryption process is executed, and weather-related metadata tags (such as weather type, risk level, warning time) are added. When extreme weather data and equipment data are recorded at the same time, high-risk nodes are processed first according to preset rules, and the storage and transmission security of these data is ensured to be protected by additional encryption layers.

[0038] Point-to-point transmission and cloud backup: Device data is transmitted point-to-point through the partially decentralized network of the blockchain. At the same time, cloud technology stores the processed data information in real time in the cloud and performs data backup based on multiple mapping models. During extreme weather, the data of supply chain nodes affected by the weather will be processed first through the point-to-point transmission network to ensure that key equipment and logistics data can still be transmitted and backed up in real time in the affected areas. In addition, the emergency mode is activated to dynamically adjust the backup strategy. For areas that may be affected by severe weather, the cloud will perform additional redundant backups to provide a quick response during post-disaster data recovery and ensure the continuity of the supply chain.

[0039] Smart contract execution and exception handling: The smart terminal analyzes the collected data to determine the operation status of the supply chain. When there is a problem with the equipment and material activities, the smart contract will be triggered to automatically execute the preset contract terms to achieve data interconnection, sharing and feedback. In extreme weather risk scenarios, smart contracts will give priority to the execution of relevant emergency clauses. For example, when it is detected that the logistics route is affected by the weather, the contract will automatically adjust the transportation route or reallocate the equipment inventory, and send an early warning notification to the relevant participants. In addition, the contract terms will be dynamically modified according to the real-time changes in weather data. Smart contracts no longer rely solely on preset conditions, but automatically optimize and adjust supply chain operations according to weather changes to ensure the flexibility and emergency response capabilities of the supply chain.

[0040] Extreme weather monitoring and emergency response mechanism: To meet the challenges of extreme weather, a special extreme weather monitoring function has been added. It obtains early warning information in real time by accessing the weather data interface, and generates risk prediction reports based on historical weather and supply chain data. Smart contracts are automatically triggered according to the risk level to conduct emergency dispatch of equipment and logistics. The mechanism also supports abnormal data correction and real-time feedback functions to ensure that data sharing and response of the supply chain under extreme weather conditions are more efficient and accurate.

[0041] In this embodiment, the power equipment supply chain data interconnection method considering extreme weather risk factors specifically includes the following steps: Step 1: Data collection and hashing (1) Data collection: Through smart sensors and other data collection devices, equipment operation data, transaction information and real-time weather data (such as meteorological station warnings) are collected from all participants in the power equipment supply chain in real time.

[0042] (2) Data extraction: The collected real-time data is extracted to generate structured information, including equipment status, logistics progress, and weather conditions.

[0043] (3) Hash processing: Generate a hash value of the data through a hash algorithm to verify whether the data has changed during transmission or storage, thereby ensuring the uniqueness and immutability of the data.

[0044] (4) Unified data format: Convert key information of different types of power equipment data into a fixed-length mathematical system.

[0045] On the basis of traditional intelligent data collection, real-time monitoring and processing of extreme weather risks have been added. By combining meteorological data with equipment operation data, rapid response to extreme weather can be achieved.

[0046] Step 2: Data encryption and block construction (1) Asymmetric encryption processing: Asymmetric encryption is performed on the collected data to ensure the security of the data during transmission, especially during extreme weather periods when a higher level of encryption is performed on high-risk data (such as logistics disruption information).

[0047] (2) Block construction: The block header contains information such as serial number, timestamp, extreme weather risk level, Merkle root value, etc.; the block body contains equipment operation data, public key and private key, address source and weather warning data, etc.

[0048] (3) Hash encryption: The key information of the device data is encrypted into ciphertext through a hash algorithm, and the ciphertext is stored in the block to ensure that the data is not tampered with during storage or transmission.

[0049] (4) Ciphertext encapsulation and linking: Nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain to ensure that other nodes can verify the integrity of the data.

[0050] (5) Block verification: Other nodes determine whether the block is legal by analyzing the block header information and decrypt the data using the private key to ensure the correctness and security of the data.

[0051] (6) Block linking: Link the new block to the longest existing main chain to complete the initial recording of data and ensure that data can still be efficiently transmitted and recorded under extreme weather conditions.

[0052] Asymmetric encryption and multi-signature mechanisms enhance data security, especially in extreme weather conditions, by combining weather warning information to additionally encrypt key data in the supply chain to ensure data integrity and confidentiality.

[0053] Step 3: Data transfer and cloud storage (1) P2P (peer-to-peer) transmission: Device data is transmitted point-to-point through the decentralized network of blockchain. Especially when extreme weather affects logistics, data transmission in the affected areas is given priority.

[0054] (2) Real-time cloud storage: During the data transmission process, cloud technology is used to back up the processed data in real time. Extreme weather data will be stored on secure and redundant cloud servers first to ensure data reliability.

[0055] (3) Data backup: Using a multi-pair mapping model, the data files are segmented and encrypted, and then stored in a distributed manner on the cloud server. Redundant backup is added to nodes affected by extreme weather to ensure data recovery capabilities.

[0056] By using cloud technology to achieve distributed storage and redundant backup, data can be prevented from being lost and quickly restored under the influence of extreme weather, thereby improving the availability and fault tolerance of supply chain data.

[0057] Step 4: Smart terminal data analysis and smart contract triggering (1) Data analysis: Smart terminals conduct real-time analysis of collected equipment data, logistics information, and weather warnings to determine the current status of supply chain activities.

[0058] (2) Problem detection and contract triggering: When equipment operation is interrupted, logistics is delayed, or weather warnings reach a preset level, smart contracts are automatically triggered. For example, a heavy rain warning will automatically delay equipment delivery and notify relevant parties.

[0059] (3) Smart contract execution: Smart contracts are not affected by external factors and can automatically execute contract terms, especially during extreme weather periods, automatically adjusting logistics routes and reallocating inventory based on weather risks.

[0060] (4) Data interconnection and sharing: After the smart contract is executed, relevant data will be automatically shared and fed back to ensure that all parties in the supply chain can obtain information in a timely manner and make corresponding adjustments.

[0061] The dynamic execution mechanism of smart contracts is combined with anomaly detection functions, which can automatically trigger emergency contract operations based on real-time weather warning information, ensuring that the supply chain can respond quickly to emergencies, reduce human intervention and improve response speed.

[0062] Explanation of relevant terms: Blockchain distributed ledger: Blockchain technology is used to record, store and process data in a distributed manner. Through peer-to-peer transmission and encryption algorithms, all participants in the power equipment supply chain can share the same encrypted ledger to record information such as equipment transactions and logistics status. Each participant can hold a complete copy of the ledger, but can only view the contents of the ledger through authorized decryption. All data changes need to be reached through a consensus mechanism to ensure the consistency and immutability of the ledger, especially in extreme weather conditions to ensure the reliability and security of supply chain data.

[0063] Smart Contracts: Smart contracts are digital agreements that automatically execute preset contract terms on the blockchain without human intervention. Contract conditions and execution codes are embedded in the blockchain. When extreme weather conditions such as heavy rains and typhoons occur, smart contracts can be triggered according to preset conditions to automatically adjust supply chain operations, such as logistics re-planning, equipment maintenance or delayed delivery. The automated execution of smart contracts ensures efficient response and stable operation of the supply chain in extreme weather.

[0064] Smart contract cycle: Smart contracts go through three cycles: contract establishment, release, and execution. In extreme weather scenarios, contracts can be triggered and dynamically adjusted based on real-time weather data. For example, a rainstorm warning will automatically trigger a contract to postpone equipment delivery or adjust the transportation route. After the smart contract is executed, the entire process is transparent and cannot be tampered with, ensuring the operational stability of the supply chain in extreme environments.

[0065] The block header and block body structures are as follows: (1) Block Header The block header contains the basic information of the block and is used to identify and verify the block, especially to ensure the operational safety and data reliability of the supply chain under extreme weather conditions. The specific structure is as follows: Version number: Identifies the version of the block structure to ensure data consistency and compatibility between different versions.

[0066] Previous block hash (previous_block_hash): The hash value of the previous block, which is used to maintain the continuity of the blockchain and ensure that the data cannot be tampered with.

[0067] Merkle root (merkle_root): The Merkle root hash value of all bidding information in the current block, used to quickly verify the integrity and consistency of the bidding data in the block.

[0068] Timestamp: The time when the block is created, which records the time nodes of various activities in the supply chain, especially in extreme weather conditions, to ensure that the time points of important events can be accurately traced.

[0069] View number (view_number): The view number in PBFT (Byzantine Fault Tolerance Algorithm), used to determine the view of the current block to ensure efficient fault tolerance under the influence of extreme weather.

[0070] Sequence number (sequence_number): The sequence number of the block in the view, used to sort and track the execution order of blocks under extreme weather conditions.

[0071] Primary_signature: The primary node’s signature on the block ensures that the block is created by a legitimate node and guarantees the credibility of supply chain data in extreme weather conditions.

[0072] (2) Block Body The block contains detailed information on all bidding in the power equipment supply chain, ensuring that the supply chain process can operate normally even in extreme weather. The specific structure is as follows: Bid count (bid_count): The number of bids contained in the block, used to record the total number of bids submitted in a block.

[0073] Bid list (bids): Detailed information of all bids contained in the block, including bidder address, bid amount, project name, etc., to ensure that supply chain participants can clearly understand the content of each bid.

[0074] Update mechanism: dynamic update and security reinforcement of block header and block body In the blockchain, the block header contains basic verification information (such as timestamp and previous block hash), while the block body records dynamic data of the supply chain. The innovation of this disclosure is the introduction of a dynamic block content update mechanism, especially when the supply chain changes due to extreme weather (such as logistics delays or equipment status changes), the block body can be automatically updated according to real-time information. This mechanism ensures the real-time and responsiveness of the data, especially when extreme weather affects logistics or equipment operation, all parties in the supply chain can make timely adjustments.

[0075] In addition, the Merkle root value verification mechanism and multi-signature verification mechanism are used to enhance the security of blockchain data. In extreme weather conditions, these safety protection measures ensure that blocks can only be added to the main chain after being verified by multiple nodes, further ensuring the integrity and credibility of the data.

[0076] Smart contract function description: Smart contracts are used to automate the bidding process on the blockchain, especially when extreme weather affects supply chain operations, to ensure the normal progress and responsiveness of the process. Smart contracts can not only receive and evaluate bids, but also automatically select bids and adjust bidding strategies according to preset conditions in extreme weather.

[0077] Structure Bid: defines the structure of bidding information, including bidder address, bid amount, project name, and whether it is selected.

[0078] Variable declaration: owner: The owner of the contract, responsible for managing the entire life cycle of the contract.

[0079] bids: An array that stores all bid information to ensure that all bid information is properly recorded and processed in extreme weather conditions.

[0080] bidderToBidIndex: A mapping of bidder address to bid index, ensuring that relevant bidding information can be quickly found under extreme weather conditions.

[0081] tenderingOpen: Indicates whether the tender is in an open state.

[0082] event: BidPlaced: Records every bid submission, ensuring bids can be traced even in bad weather.

[0083] BidSelected: records the bid selection event to ensure that the winning bid information is open and transparent.

[0084] Modifiers: onlyOwner: restricts the functions that can be called only by the contract owner.

[0085] tenderingIsOpen: Restricts the function to be called only when tendering is open.

[0086] Constructor: The contract owner initializes the contract when deploying it, sets the contract owner as the deployer of the contract, and opens the bidding. When extreme weather affects the supply chain, the contract owner can adjust the bidding strategy according to the real-time situation and ensure that the contract is executed according to the predetermined conditions.

[0087] function: placeBid: Allows users to submit bids. The bid amount must be greater than zero. This function ensures that bids can be successfully submitted even in extreme weather conditions, and adjusts the bidding window in time according to weather changes.

[0088] selectBid: The contract owner can select a bid as the winning bid. Especially when bad weather affects supply chain efficiency, the smart contract can automatically evaluate bids and make decisions based on preset conditions.

[0089] closeTendering: The contract owner closes the tender to ensure that no new bids will be accepted under extreme weather conditions, reducing human intervention.

[0090] getBids: Returns all bidding information to facilitate users to check the progress of bidding.

[0091] getSelectedBids: Returns all selected bid information to ensure that the bid selection process is transparent and traceable.

[0092] Deployment and testing: In extreme weather conditions, the deployment and execution of smart contracts becomes particularly important to ensure that supply chains remain operational during disruptions.

[0093] (1) Contract deployment: The contract owner deploys the contract to ensure that the bidding process can be successfully launched during extreme weather.

[0094] (2) Submitting bids: Users submit bid information through the 'placeBid' function. Even if the weather causes system delays, the smart contract will still automatically receive the bids.

[0095] (3) Selecting a bid: The contract owner or smart contract selects the winning bid using the 'selectBid' function based on real-time weather and supply chain conditions.

[0096] (4) Closing bidding: In the event of extreme weather, the contract owner closes the bidding through the 'closeTendering' function to avoid new bidding and increase risks.

[0097] (5) View bidding information: Use the 'getBids' and 'getSelectedBids' functions to view all submitted and selected bidding information, ensuring that the information is transparent and searchable, so as to facilitate adjustments when severe weather affects the supply chain.

[0098] like Figure 2 As shown, an embodiment of the present disclosure provides a power equipment supply chain data interconnection system, including: Data collection module, used to collect real-time data of supply chain and extreme weather conditions, and process the data in a unified format; The data security management module is used to encrypt the data after the unified format through asymmetric encryption, encrypt it in the block, and link it in time series to form a blockchain; The data storage module is used to transmit encrypted data point-to-point through the partially decentralized network of the blockchain, and to perform real-time cloud storage and redundant backup of data through cloud technology; The data sharing module is used to analyze the encrypted data and determine the operating status of the supply chain. When an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

[0099] In this embodiment, the architecture of the power equipment supply chain data interconnection system considering extreme weather risk factors is as follows: 1. Data acquisition module: The data of various entities in the supply chain are collected in real time through intelligent sensors, and the hash function is used to unify the data format to ensure the standardized processing of data. This module not only collects product information, transaction records, customer information and other data in the power equipment supply chain, but also integrates weather monitoring sensors to obtain extreme weather data in real time.

[0100] Extreme weather monitoring integration: The system obtains warning data on extreme weather, such as heavy rain, typhoons and other meteorological information, from third-party meteorological service interfaces, and updates on-site weather conditions in real time through IoT sensors.

[0101] Data format unification and encryption: Hash functions are used to convert the collected data into a unified format, and asymmetric encryption technology is used to ensure the security of data during transmission. The collected data is timestamped in the block to ensure the uniqueness and traceability of each record.

[0102] 2. Data storage module: The distributed ledger technology of blockchain is used to achieve decentralized data storage, ensure data immutability, and support multi-level data encryption and key management. The encrypted private and public keys are securely backed up to ensure the integrity and security of the keys during the recovery process after extreme weather disasters. Each node stores data equally to ensure that when some nodes fail under extreme weather conditions, system data can still be stored and restored safely and completely.

[0103] Fault-tolerance mechanism in extreme weather scenarios: When extreme weather events (such as typhoons or blizzards) affect some supply chain nodes, the data storage module maintains the stability of system operation through a distributed structure to avoid data loss due to failure of a single node.

[0104] 3. Data sharing module: Smart contracts are responsible for the sharing and circulation of supply chain data, supporting automated data sharing, adaptive rights management, and automatic execution of extreme weather response measures. Each data access and operation is recorded by the smart contract, and the rights and operation strategies are dynamically adjusted according to the impact of extreme weather.

[0105] Extreme weather risk sharing and scheduling: When the system detects an extreme weather warning, the smart contract will automatically trigger supply chain adjustments, such as changing transportation routes, reallocating inventory, or postponing delivery plans.

[0106] Dynamic adjustment of permissions: Smart contracts allow data owners to dynamically manage access permissions based on the roles of the participants. In extreme weather conditions, key nodes such as logistics providers and warehouse managers are given priority to ensure the smooth implementation of emergency response measures.

[0107] 4.Data security management module: This module is based on asymmetric encryption technology and multi-signature mechanism to ensure the security and privacy of data during transmission and storage, and supports dual authentication and dynamic permission adjustment. Especially for extreme weather scenarios, the system provides abnormal data monitoring and correction functions to ensure the integrity of data under extreme weather conditions.

[0108] Asymmetric encryption mechanism: Asymmetric encryption technology is used to protect data from illegal tampering or leakage in extreme weather. In harsh environments, key pairs are updated regularly to prevent potential leakage risks caused by long-term use of the same key pair. Data is encrypted before being transmitted through the blockchain to ensure that even if some nodes fail due to weather, the data can still be protected by encryption.

[0109] Intelligent monitoring and early warning: When abnormal data or equipment failure is detected, the system will trigger the exception handling process, ensure the accuracy of all data and automatically issue an alarm through the blockchain's timestamp, hash verification and consensus mechanism.

[0110] 5. Consensus mechanism and data verification: In order to ensure the accuracy and consistency of data transmission at each node in the supply chain, the Practical Byzantine Fault Tolerance (PBFT) consensus mechanism is embedded in the blockchain. Through the optimized PBFT consensus mechanism, the system can quickly identify the validity of data under the influence of extreme weather and ensure the efficiency and stability of supply chain data transmission.

[0111] Among them, the data acquisition module includes: intelligent sensor collection and extraction, hash function processing, unified data format, and timestamp in the block; the data collected and extracted by the intelligent sensor mainly includes: product information, transaction records, customer information and other key data information; the role of hash function processing is mainly to ensure the integrity and tamper-proof of the data, and generate the hash value of the data through the hash algorithm to verify whether the data has changed during transmission or storage; the unified data format extracts key information from different types of power equipment material data and converts it into a fixed-length mathematical system; the process of timestamp in the block is: when the data information of each participant in the power equipment supply chain passes through the block node, it will obtain the accounting authority and be timestamped. The timestamp is usually a sequence of characters, which deliberately marks the source of the data of each participant in the power equipment supply chain, original data, digital signature, issuance time and other important information.

[0112] The data storage module uses distributed ledger technology to ensure that the data cannot be tampered with.

[0113] In the bidding and procurement of power equipment materials, the storage module of power data uses the blockchain point-to-point network for data transmission. In the transmission, each node has an equal status and interacts in a flat topology. Each node is responsible for both network routing protocols and block information authentication, and also transmits data from all participants in the power equipment supply chain. Any node can analyze, store and identify the data of all participants in the power equipment supply chain without relying on other nodes; if the number of failed nodes or illegal nodes does not exceed 51% of the total number of nodes, it will not affect the storage and update of the main block chain.

[0114] Upload all kinds of collected data to the blockchain and broadcast them to all nodes in the network through the P2P network. When other nodes receive new block information, they will first verify the authenticity and validity of the data of each participant in the power equipment supply chain based on the data structure, key instructions, address source, timestamp and other information. If the data of each participant in the power equipment supply chain is legal, the block node will store the data of each participant in the power equipment supply chain in the block body according to the time series, thereby forming a time-sequential chain distributed structure data storage with a time tag, and continue to forward it to adjacent nodes; if the block receives illegal data from each participant in the power equipment supply chain, the chain network will immediately stop linking the data to ensure that invalid data will not be propagated in the power equipment material data blockchain management platform. Because the storage mode of decentralized block nodes has a strong tamper-proof property, the data information security of each participant in the power equipment supply chain is guaranteed from the infrastructure.

[0115] In order to solve the problem of block recognition and trust in the collected data, the Practical Byzantine Fault Tolerance (PBFT) consensus mechanism is embedded in the blockchain. The consensus mechanism ensures that nodes recognize data and reach consensus in the shortest time, thereby improving the efficiency of device data transmission.

[0116] The data sharing module uses smart contracts to automatically execute data sharing agreements, ensuring the transparency and efficiency of the data sharing process.

[0117] The data sharing protocol based on smart contracts allows data owners to selectively share data with specific users or user groups. It includes: (1) The smart contract defines the access rules and permissions between the data owner, specific users or user groups. The contract needs to verify the identity of the data user and whether they are authorized users or user groups. (2) The contract records and updates the list of accessible data and ensures that only authorized users or user groups can access and use the relevant data. (3) The contract provides a mechanism to manage and update data permissions. The data owner can modify the access rules of the data at any time and realize dynamic adjustment of permissions through the contract. (4) The contract records and maintains the access records and access rights of specific data, uses encryption algorithms to protect the privacy of data, and records the information of each data access to ensure the tracking and auditing of data use.

[0118] The data security management module provides abnormal data monitoring and alarm functions, and monitors the integrity and security of chain data in real time.

[0119] Blockchain system initialization and key generation. The system first selects a security parameter λ, calculates the initialization parameter pp to be made public, and the master key to be kept secret . The power activity data stream generated by each participant in the power equipment supply chain has a hash identifier ID. In order to ensure the legitimacy of the node's identity, this system provides the node with a CA certificate through the PKI certificate system. For each collection node, its hash address, data stream ID, timestamp, and CA certificate are used as input, and a unique universally unique identifier (Universally Unique Identifier, UUID) is output, which is registered on the chain as the node identity ID. Any privacy information such as the geographic location of the collection terminal cannot be checked through the UUDI. Enter the UUID, and according to the key generation function, the public and private key pair of the collection node can be obtained.

[0120] Data encryption and signature. The power data is encrypted using an asymmetric encryption algorithm to obtain a ciphertext, and the private key of the corresponding acquisition node is used to digitally sign it. The process of using the key for asymmetric encryption is as follows: the power equipment supply chain data management platform generates the private key (privatekey), ciphertext and public key (publickey) of the block with the help of asymmetric encryption technology. The data information of each participant in the power equipment supply chain is transmitted from block A to block B. The sender uses the public key of the receiver to asymmetrically encrypt the data information of each participant in the power equipment supply chain, and encapsulates the ciphertext and key and sends them to the receiver. The receiver uses the private key to decrypt the ciphertext into plaintext and then performs data analysis and storage. In the absence of a private key, the ciphertext of the data of each participant in the power equipment supply chain in the block cannot be decrypted into plaintext, thereby ensuring that the data of each participant in the power equipment supply chain will not be illegally stolen by others; the signature ciphertext is calculated by Merkle to obtain a hash value, which is distributed and stored in the form of a block header in the private chain to which it belongs, and the ciphertext is uploaded to the adjacent data node synchronously. The node generates a hash index based on the received ciphertext data.

[0121] The implementation process of the functions and effects of each module in the above system is specifically described in the implementation process of the corresponding steps in the above method, which will not be repeated here.

[0122] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can refer to the partial description of the method embodiment. The system embodiment described above is only schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the disclosed solution. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0123] In the above embodiments, any number of all modules can be combined into one module for implementation, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module. At least one of all modules can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in a suitable combination of any of them. Alternatively, at least one of all modules can be at least partially implemented as a computer program module, and when the computer program module is run, the corresponding function can be executed.

[0124] The disclosed power equipment supply chain data interconnection system architecture considering extreme weather risk factors has the following advantages: (1) Enhanced data transparency and traceability: Through the timestamp and hash processing in blockchain technology, every piece of data in the supply chain has a clear source and change record. Especially under extreme weather conditions, data changes at each node in the supply chain can be recorded and traced in real time. During extreme weather, supply chain participants can quickly access historical data to ensure that all data has not been tampered with, and adjust supply chain operations based on real-time weather warnings to improve data transparency and traceability.

[0125] (2) Information sharing automation and efficient collaboration: Smart contracts enable automatic data sharing and collaborative operations among supply chain participants under the influence of extreme weather without human intervention. By triggering contracts with extreme weather warnings, the supply chain can automatically perform operations such as adjusting transportation routes and reallocating equipment, ensuring rapid data transmission and sharing in extreme weather, further improving the collaborative efficiency and emergency response capabilities of the supply chain in dealing with meteorological risks.

[0126] (3) Data security and privacy protection are guaranteed: The combination of distributed ledger and asymmetric encryption technology provides strong security for supply chain data under extreme weather conditions. Through the dynamic adjustment of access rights by smart contracts, data privacy is more strictly protected to prevent security vulnerabilities that may be caused by extreme weather. At the same time, asymmetric encryption mechanisms ensure that critical data can still maintain confidentiality and immutability during disasters, avoiding the risk of unauthorized access and tampering.

[0127] (4) Supply chain process automation and cost optimization: Smart contracts not only enable automated management of power equipment procurement and logistics, but also reduce errors in intermediate links and manual operations. In particular, in extreme weather conditions, the system can automatically perform emergency response operations, significantly improving the operational efficiency of the supply chain. In the event of logistics delays and equipment damage caused by extreme weather, contracts can automatically re-plan resource scheduling, reduce economic losses caused by supply chain disruptions, and optimize overall management and operating costs.

[0128] (5) System scalability and elasticity: Through decentralization and distributed storage technology, this system maintains efficient operation in a multi-node environment and has good scalability and anti-attack capabilities. Especially when some nodes fail due to extreme weather, the system can quickly restore data based on cloud and blockchain technology to ensure the continuity and security of supply chain data. Even under extreme conditions, the supply chain can still maintain stable operation, with strong elasticity and recovery capabilities, and enhance the ability to resist unforeseen risks.

[0129] See also Figure 3 , an electronic device provided by an embodiment of the present disclosure includes a processor 1110, a communication interface 1120, a memory 1130 and a communication bus 1140, wherein the processor 1110, the communication interface 1120, and the memory 1130 communicate with each other through the communication bus 1140; Memory 1130, for storing computer programs; The processor 1110 is used to implement the power equipment supply chain data interconnection method as shown below when executing the program stored in the memory 1130.

[0130] The communication bus 1140 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus 1140 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0131] The communication interface 1120 is used for communication between the above electronic device and other devices.

[0132] The memory 1130 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk memory. Optionally, the memory 1130 may also be at least one storage device located away from the processor 1110.

[0133] The above-mentioned processor 1110 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0134] The embodiment of the present disclosure further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the power equipment supply chain data interconnection method described above is implemented.

[0135] The computer-readable storage medium may be included in the device / apparatus described in the above embodiment; or it may exist independently without being assembled into the device / apparatus. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the power equipment supply chain data interconnection method according to the embodiment of the present disclosure is implemented.

[0136] According to an embodiment of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, apparatus, or device.

[0137] The above-mentioned embodiments only express several implementation methods of the present disclosure, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present disclosure. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present disclosure, and these all belong to the protection scope of the present disclosure.

Claims

1. A method for interconnecting data in a power equipment supply chain, characterized in that: The following steps are involved: Collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format; The data with unified format is asymmetrically encrypted in the block and linked in time series; The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and the data is stored in the cloud in real time and backed up redundantly through cloud technology; Analyze the encrypted data to determine the operating status of the supply chain; when an abnormality occurs, trigger the smart contract to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

2. A method for interconnecting data in a power equipment supply chain according to claim 1, characterized in that: The real-time supply chain data includes product information and transaction records in the power equipment supply chain; The real-time extreme weather data includes typhoon information, rainstorm information and blizzard information.

3. A method for interconnecting data in a power equipment supply chain according to claim 1, characterized in that: Data format unification processing includes: Use hash functions to convert data into a string in a unified format.

4. A method for interconnecting data in a power equipment supply chain according to claim 1, characterized in that: The data in a unified format is asymmetrically encrypted in the block and linked in time series, including: The data with unified format is processed through asymmetric encryption and encapsulated in a block with a timestamp to form a new node and link to the main chain; the block consists of a block header and a block body, which contains device operation data, public key and private key; the block nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain, and the remaining nodes determine whether the block is legal through the information in the block header. If the verification is successful, the data can be decrypted through the private key.

5. The method for interconnecting data in a power equipment supply chain according to claim 1, characterized in that: The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and the data is stored in the cloud in real time and backed up redundantly through cloud technology, including: The encrypted data is transmitted point-to-point through the decentralized network of blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized. During the data transmission process, cloud technology is used to back up the processed data in real time; real-time data on extreme weather conditions is preferentially stored on secure and redundant cloud servers; A multi-pair mapping model is used to segment and encrypt the data, which is then distributed and stored on cloud servers. Redundant backup is also added for block nodes affected by extreme weather.

6. A method for interconnecting data in a power equipment supply chain according to claim 1, characterized in that: Analyze the encrypted data to determine the operation status of the supply chain; When an exception occurs, the smart contract is triggered and automatically executes the preset contract terms, including: Conduct real-time analysis on encrypted data to determine the current status of supply chain activities; When an abnormality occurs, including equipment interruption, logistics delay or weather warning reaching a preset level, the smart contract is automatically triggered, the preset contract terms are automatically executed, and emergency scheduling of equipment and logistics is carried out; after the smart contract is running, the data is automatically shared and fed back, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

7. A method for interconnecting data in a power equipment supply chain according to claim 6, characterized in that: The smart contract can dynamically modify contract terms based on meteorological data and automatically optimize and adjust supply chain operations.

8. A power equipment supply chain data interconnection system, characterized in that: include: Data collection module, used to collect real-time data of supply chain and extreme weather conditions, and process the data in a unified format; The data security management module is used to encrypt the data after the unified format through asymmetric encryption, encrypt it in the block, and link it in time series to form a blockchain; The data storage module is used to transmit encrypted data point-to-point through the partially decentralized network of the blockchain, and to perform real-time cloud storage and redundant backup of data through cloud technology; The data sharing module is used to analyze the encrypted data and determine the operating status of the supply chain. When an abnormality occurs, the smart contract is triggered to automatically execute the preset contract terms to achieve interconnected sharing and feedback of data.

9. The power equipment supply chain data interconnection system according to claim 8, characterized in that: The real-time supply chain data includes product information and transaction records in the power equipment supply chain; The real-time extreme weather data includes typhoon information, rainstorm information and blizzard information.

10. The power equipment supply chain data interconnection system according to claim 8, characterized in that: The data acquisition module performs unified data format processing, including: Use hash functions to convert data into a string in a unified format.

11. The power equipment supply chain data interconnection system according to claim 8, characterized in that: The data security management module processes the data after the unified format through asymmetric encryption, encrypts it in the block, and links it in time series to form a blockchain, including: The data with unified format is processed through asymmetric encryption and encapsulated in a block with a timestamp to form a new node and link to the main chain; the block consists of a block header and a block body, which contains device operation data, public key and private key; the block nodes involved in data recording encapsulate the ciphertext and public key and link them to the blockchain, and the remaining nodes determine whether the block is legal through the information in the block header. If the verification is successful, the data can be decrypted through the private key.

12. The power equipment supply chain data interconnection system according to claim 8, characterized in that: The data storage module transmits the encrypted data point-to-point through a partially decentralized network of the blockchain, and performs real-time cloud storage and redundant backup of the data through cloud technology, including: The encrypted data is transmitted point-to-point through the decentralized network of blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized. During the data transmission process, cloud technology is used to back up the processed data in real time; real-time data on extreme weather conditions is preferentially stored on secure and redundant cloud servers; A multi-pair mapping model is used to segment and encrypt the data, which is then distributed and stored on cloud servers. Redundant backup is also added for block nodes affected by extreme weather.

13. The power equipment supply chain data interconnection system according to claim 8, characterized in that: Analyze the encrypted data to determine the operation status of the supply chain; When an exception occurs, the smart contract is triggered and automatically executes the preset contract terms, including: Conduct real-time analysis on encrypted data to determine the current status of supply chain activities; When an abnormality occurs, including equipment interruption, logistics delay or weather warning reaching a preset level, the smart contract is automatically triggered, the preset contract terms are automatically executed, and emergency scheduling of equipment and logistics is carried out; after the smart contract is running, the data is automatically shared and fed back, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

14. The power equipment supply chain data interconnection system according to claim 13, characterized in that: The smart contract can dynamically modify contract terms based on meteorological data and automatically optimize and adjust supply chain operations.

15. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus; Memory, for storing computer programs; A processor is used to execute the program stored in the memory to implement the power equipment supply chain data interconnection method described in any one of claims 1-7.

16. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the power equipment supply chain data interconnection method described in any one of claims 1-7 is implemented.

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