A method, system, device and medium for interconnecting data in a power equipment supply chain

Abstract

The present disclosure relates to a method, system, device and medium for interconnecting data in the power equipment supply chain, and belongs to the field of power equipment supply chain management technology. The method includes the following steps: collecting real-time supply chain data and real-time extreme weather data, and performing unified data format processing; encrypting the data, encrypting it in blocks, and linking it in time series to form a blockchain; transmitting the data point-to-point, and simultaneously performing real-time cloud storage and redundant backup of the data through cloud technology; analyzing the encrypted data, and when an anomaly occurs, a smart contract is triggered to achieve data interconnection, sharing and feedback. The present disclosure improves the accuracy, transparency and security of data interaction between various entities in the supply chain through blockchain distributed ledgers, smart contracts, Internet of Things sensors and extreme weather risk management technology, especially improving the system's resilience and efficiency under extreme weather conditions.

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 increasingly impacting the power equipment supply chain. These extreme weather events can cause logistics disruptions, equipment damage, and construction delays, severely threatening the stability and continuity of the supply chain. Existing supply chain systems lack effective forecasting mechanisms and response strategies for weather risks. Due to inconsistent systems and data standards used by various supply chain participants, managers struggle to quickly dispatch resources and adjust plans in extreme weather conditions, impacting the overall responsiveness of the supply chain.

[0003] The existing problems are generally as follows:

[0004] Inconsistent data formats make sharing difficult: Supply chain participants (such as suppliers, manufacturers, and logistics providers) often use different information systems and data standards. This results in a lack of unified formats during data transmission, making it difficult to effectively share information. For example, a supplier's order management system may be incompatible with a logistics provider's transportation system. This can hinder the smooth transmission of information about logistics disruptions caused by extreme weather, reducing the supply chain's responsiveness and efficiency.

[0005] 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.

[0006] Difficulties in supply chain tracking and monitoring: Extreme weather conditions have made monitoring the power equipment supply chain more challenging. Existing supply chain systems are unable to effectively track and monitor the real-time status of each link, especially when faced with risks such as logistics delays and equipment damage, and lack the ability to promptly respond to and address issues.

[0007] Therefore, it is necessary to provide a new power equipment supply chain data interconnection method, system, equipment and medium to solve the above technical problems. Summary of the Invention

[0008] The present disclosure aims to address the aforementioned issues by providing a method, system, device, and medium for interconnecting power equipment supply chain data. To address these issues, blockchain technology, particularly its distributed ledger and smart contract technologies, provides an effective solution. These technologies ensure the transparency and security of supply chain data and enable automated scheduling of supply chain operations through smart contracts.

[0009] Distributed Ledger Technology: Blockchain's distributed ledger provides tamper-proof data storage for every node in the supply chain, ensuring data transparency and security. Every participant holds an identical copy of the ledger, minimizing the impact of extreme weather events on data integrity.

[0010] Smart Contract Technology: Smart contracts encode contract terms into blockchain code, automatically executing the contract and supply chain scheduling when specific conditions (such as extreme weather warnings) are triggered. This automated approach effectively improves contract execution efficiency, avoids delays caused by manual intervention due to extreme weather, and ensures supply chain continuity.

[0011] The present disclosure achieves the above objectives through the following technical solutions:

[0012] A method for interconnecting data in a power equipment supply chain, comprising the following steps:

[0013] Collect real-time supply chain data and extreme weather data, and process the data in a unified format;

[0014] The data after unified formatting is asymmetrically encrypted in the block and linked in time series;

[0015] The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and cloud technology is used to store the data in real time and provide redundant backup.

[0016] Analyze the encrypted data to determine the operating status of the supply chain; when an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, realizing the interconnected sharing and feedback of data.

[0017] 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;

[0018] The real-time extreme weather data includes typhoon information, rainstorm information and snowstorm information.

[0019] As a further optimization solution of the present disclosure, the data format unified processing includes:

[0020] Use hash functions to convert data into a string in a unified format.

[0021] As a further optimization solution of the present disclosure, the data after the unified format is asymmetrically encrypted in the block and linked in time series, including:

[0022] The data after unified formatting 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. The remaining nodes use the information in the block header to determine whether the block is legal. If the verification is passed, the data can be decrypted using the private key.

[0023] As a further optimization solution of the present disclosure, the encrypted data is transmitted point-to-point through a partially decentralized blockchain network, and the data is stored and backed up in real time through cloud technology, including:

[0024] The encrypted data is transmitted point-to-point through the decentralized network of the blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized.

[0025] 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;

[0026] A multi-pair mapping model is used to split 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.

[0027] As a further optimization solution of this disclosure, the encrypted data is analyzed to determine the operation status of the supply chain. When an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, including:

[0028] The encrypted data is analyzed in real time to determine the current activity status of the supply chain. When an anomaly 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 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.

[0029] 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.

[0030] A power equipment supply chain data interconnection system, comprising:

[0031] Data collection module, used to collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format;

[0032] The data security management module is used to process the data after unified formatting through asymmetric encryption, encrypt it in blocks, and link it in time series to form a blockchain;

[0033] 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 the data through cloud technology;

[0034] The data sharing module is used to analyze encrypted data and determine the operating status of the supply chain. When an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, realizing the interconnected sharing and feedback of data.

[0035] 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;

[0036] The real-time extreme weather data includes typhoon information, rainstorm information and snowstorm information.

[0037] As a further optimization solution of the present disclosure, the data acquisition module performs unified data format processing, including:

[0038] Use hash functions to convert data into a string in a unified format.

[0039] As a further optimization solution of the present disclosure, the data security management module processes the data after formatting through asymmetric encryption, encrypts it in blocks, and links it in time series to form a blockchain, including:

[0040] The data after unified formatting 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. The remaining nodes use the information in the block header to determine whether the block is legal. If the verification is passed, the data can be decrypted using the private key.

[0041] As a further optimization solution of the present disclosure, the data storage module transmits the encrypted data point-to-point through a partially decentralized network of the blockchain, and simultaneously performs real-time cloud storage and redundant backup of the data through cloud technology, including:

[0042] The encrypted data is transmitted point-to-point through the decentralized network of the blockchain. When extreme weather affects logistics, data transmission in the affected areas is prioritized.

[0043] 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;

[0044] A multi-pair mapping model is used to split 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.

[0045] As a further optimization solution of this disclosure, the encrypted data is analyzed to determine the operation status of the supply chain. When an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, including:

[0046] The encrypted data is analyzed in real time to determine the current activity status of the supply chain. When an anomaly 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 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.

[0047] 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.

[0048] 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;

[0049] Memory for storing computer programs;

[0050] The processor is used to execute the program stored in the memory to realize the data interconnection method of the power equipment supply chain.

[0051] 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.

[0052] The beneficial effects of the present disclosure are:

[0053] 1. Deep integration of distributed ledgers and smart contracts:

[0054] Leveraging blockchain's distributed ledger and smart contract technology, data synchronization across all supply chain nodes is ensured to be secure and tamper-proof. Extreme weather warnings, through smart contracts, automatically trigger supply chain adjustments, such as rerouting logistics and reallocating equipment inventory. This intelligent scheduling and management approach can significantly improve supply chain responsiveness and overall collaborative efficiency.

[0055] 2. Dynamic permission management and selective sharing of smart contracts:

[0056] The smart contracts described in this paper not only automate the execution of supply chain contracts but also provide a flexible permissions management mechanism, allowing supply chain participants to adjust data access permissions based on their roles and needs. In extreme weather conditions, smart contracts can automatically share critical data, such as logistics delay warnings and equipment status information, with relevant parties, enhancing the collaboration and response capabilities of all supply chain participants.

[0057] 3. Abnormal data monitoring and adaptive correction considering extreme weather risks:

[0058] This paper combines IoT sensors and a weather warning system to monitor and evaluate data in real time during extreme weather conditions. When an anomaly is detected (such as damaged equipment or logistics delays), the system automatically triggers a correction mechanism. Using blockchain timestamps, hash verification, and the Byzantine Fault Tolerant (PBFT) consensus mechanism, the system ensures data security and consistency, and issues alerts to relevant parties.

[0059] 4. Asymmetric encryption and signature mechanisms improve data security:

[0060] This paper utilizes asymmetric encryption technology to ensure the security of data transmission and storage within the power equipment supply chain. Even in extreme weather conditions, data transmission and storage within the blockchain remain protected, with digital signatures and encryption technologies ensuring data integrity and confidentiality.

[0061] 5. Scenario-based integration of distributed networks and cloud storage:

[0062] Combining the decentralized network of blockchain with cloud technology enables point-to-point transmission and real-time backup storage of supply chain data, 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.

[0063] 6. Consensus mechanism optimized for extreme weather scenarios:

[0064] This paper utilizes an optimized Byzantine Fault Tolerant (PBFT) consensus mechanism, specifically designed for multi-node, high-concurrency scenarios in the power equipment supply chain under extreme weather conditions. This consensus mechanism rapidly processes weather risk information within the supply chain and ensures efficient data synchronization across nodes, ensuring that supply chain data remains consistent even if some nodes fail.

[0065] 7. Hash function unifies data format and timestamp mechanism:

[0066] The hash function in this disclosure ensures the uniqueness and consistency of supply chain data through a unified format conversion and timestamp mechanism. The timestamp records the source and time of the data, enabling accurate data tracking and verification across all links of the supply chain, even in extreme weather conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 is a flow chart of a method in an embodiment of the present disclosure;

[0068] Figure 2 is a block diagram of the system working principle in an embodiment of the present disclosure;

[0069] Figure 3 It is a block diagram of the device structure in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0070] The present application will be described in further detail below in conjunction with the accompanying drawings. It is necessary to point out 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. Technicians in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0071] like Figure 1 As shown, a method for interconnecting data of a power equipment supply chain includes the following steps:

[0072] Collect real-time supply chain data and extreme weather data, and process the data in a unified format;

[0073] The data after unified formatting is asymmetrically encrypted in the block and linked in time series;

[0074] The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and cloud technology is used to store the data in real time and provide redundant backup.

[0075] Analyze the encrypted data to determine the operating status of the supply chain; when an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, realizing the interconnected sharing and feedback of data.

[0076] Blockchain Real-Time Data Collection and Timestamp Mechanism: Blockchain technology is used to collect real-time data generated by all participants in the power equipment supply chain during their activities. A hash function is used to convert this data into a uniformly formatted string. This data is encapsulated in timestamped blocks, forming new nodes that are linked to the main chain. Extreme weather factors are also incorporated into real-time data collection. IoT sensors or third-party meteorological services collect real-time extreme weather warning information (such as typhoons, heavy rain, and snowstorms). This weather data is timestamped along with equipment and logistics data to form block nodes, ensuring accurate data transmission and equipment status under extreme weather conditions. By combining weather warnings with supply chain data, potential risk points can be identified in advance, providing data support for subsequent scheduling and emergency response.

[0077] 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 use the block header information to determine whether the block is legal. If the verification is passed, the data can be decrypted using 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 implemented, 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 are protected by additional encryption layers.

[0078] Peer-to-peer transmission and cloud backup: Device data is transmitted peer-to-peer via a partially decentralized blockchain network. Cloud technology simultaneously stores processed data in real time and backs it up based on a multi-pair mapping model. During periods of extreme weather, data from affected supply chain nodes will be prioritized via the peer-to-peer transmission network to ensure real-time transmission and backup of critical equipment and logistics data in affected areas. Furthermore, an emergency mode is activated to dynamically adjust backup strategies. For areas potentially affected by severe weather, additional redundant cloud backups are implemented to ensure rapid response during post-disaster data recovery and ensure supply chain continuity.

[0079] Smart Contract Execution and Exception Handling: Smart terminals analyze collected data to determine the operational status of the supply chain. When problems arise with equipment and material movements, smart contracts are triggered, automatically executing pre-set contract terms and enabling data sharing and feedback. In extreme weather risk scenarios, smart contracts prioritize emergency response clauses. For example, if weather conditions affect logistics routes, the contract automatically adjusts shipping routes or reallocates equipment inventory, sending alerts to relevant parties. Furthermore, contract terms are dynamically modified based on real-time changes in weather data. Smart contracts no longer rely solely on pre-set conditions; instead, they automatically optimize and adjust supply chain operations based on weather changes, ensuring supply chain flexibility and emergency response capabilities.

[0080] Extreme Weather Monitoring and Emergency Response Mechanism: To address the challenges of extreme weather, a dedicated extreme weather monitoring function has been added. This function accesses weather data interfaces to obtain real-time warning information and generates risk forecast reports based on historical weather and supply chain data. Based on risk levels, smart contracts are automatically triggered to facilitate emergency dispatch of equipment and logistics. This mechanism also supports abnormal data correction and real-time feedback, ensuring more efficient and accurate data sharing and response within the supply chain during extreme weather conditions.

[0081] In this embodiment, the method for interconnecting data of a power equipment supply chain considering extreme weather risk factors specifically includes the following steps:

[0082] Step 1: Data Collection and Hashing

[0083] (1) Data collection: Through smart sensors and other data collection equipment, 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.

[0084] (2) Data extraction: The collected real-time data is extracted to generate structured information, including equipment status, logistics progress, and weather conditions.

[0085] (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, ensuring the uniqueness and non-tamperability of the data.

[0086] (4) Unified data format: Convert key information of different types of power equipment data into a fixed-length mathematical system.

[0087] In addition to traditional intelligent data collection, we have added real-time monitoring and processing of extreme weather risks. By combining meteorological data with equipment operation data, we can achieve a rapid response to extreme weather.

[0088] Step 2: Data encryption and block construction

[0089] (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).

[0090] (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.

[0091] (3) Hash encryption: The key information of the device data is encrypted into ciphertext through the hash algorithm, and the ciphertext is stored in the block to ensure that the data is not tampered with during storage or transmission.

[0092] (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.

[0093] (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.

[0094] (6) Block linking: Linking the new block to the longest existing main chain to complete the initial recording of data and ensure that the data still has the ability to be efficiently transmitted and recorded under extreme weather conditions.

[0095] Asymmetric encryption and multi-signature mechanisms enhance data security, especially in extreme weather conditions. By combining weather warning information with additional encryption of key data in the supply chain, data integrity and confidentiality are ensured.

[0096] Step 3: Data Transfer and Cloud Storage

[0097] (1) P2P (peer-to-peer) transmission: Device data is transmitted point-to-point through the decentralized network of the blockchain. Especially when extreme weather affects logistics, data transmission in the affected areas is given priority.

[0098] (2) Real-time cloud storage: During data transmission, cloud technology is used to back up processed data in real time. Extreme weather data will be stored preferentially on secure and redundant cloud servers to ensure data reliability.

[0099] (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 the nodes affected by extreme weather to ensure data recovery capabilities.

[0100] By using cloud technology to achieve distributed storage and redundant backup, data can be guaranteed not to be lost and can be quickly restored even under the influence of extreme weather, thus improving the availability and fault tolerance of supply chain data.

[0101] Step 4: Smart terminal data analysis and smart contract triggering

[0102] (1) Data analysis: The intelligent terminal conducts real-time analysis on the collected equipment data, logistics information and weather warnings to determine the current activity status of the supply chain.

[0103] (2) Problem detection and contract triggering: When equipment operation is interrupted, logistics is delayed, or weather warnings reach a preset level, the smart contract is automatically triggered. For example, a heavy rain warning will automatically delay equipment delivery and notify relevant parties.

[0104] (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.

[0105] (4) Data interconnection and sharing: After the smart contract is run, 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.

[0106] The dynamic execution mechanism of smart contracts is combined with anomaly detection capabilities, which can automatically trigger emergency contract operations based on real-time weather warning information, ensuring that the supply chain can respond quickly to emergencies, reducing human intervention and improving response speed.

[0107] Explanation of relevant terms:

[0108] Blockchain distributed ledger:

[0109] Blockchain technology is used for distributed data recording, storage, and processing. Through peer-to-peer transmission and encryption algorithms, all participants in the power equipment supply chain can share a single encrypted ledger, recording information such as equipment transactions and logistics status. Each participant maintains a complete copy of the ledger, but can only access its contents through authorized decryption. All data changes must be reached through a consensus mechanism, ensuring the consistency and immutability of the ledger. This ensures the reliability and security of supply chain data, particularly during extreme weather conditions.

[0110] Smart Contracts:

[0111] Smart contracts are digital agreements that automatically execute pre-defined contract terms on a blockchain, without human intervention. Contract terms and execution code are embedded in the blockchain. When extreme weather conditions such as heavy rain or typhoons occur, these smart contracts can be triggered based on pre-set conditions, automatically adjusting supply chain operations such as logistics rerouting, equipment maintenance, or delayed deliveries. The automated execution of smart contracts ensures efficient and stable supply chain response during extreme weather events.

[0112] Smart contract cycle:

[0113] Smart contracts go through three cycles: contract formation, issuance, and execution. In extreme weather scenarios, contracts can be triggered and dynamically adjusted based on real-time weather data. For example, a heavy rain warning could automatically trigger a contract, delaying equipment delivery or adjusting shipping routes. Once executed, the entire process is transparent and tamper-proof, ensuring the stability of supply chain operations in extreme conditions.

[0114] The block header and block body structures are as follows:

[0115] (1) Block Header

[0116] The block header contains basic information about the block and is used to identify and verify the block, especially to ensure the operational security and data reliability of the supply chain under extreme weather conditions. The specific structure is as follows:

[0117] Version number: identifies the version of the block structure and ensures data consistency and compatibility between different versions.

[0118] Previous block hash (previous_block_hash): The hash value of the previous block, used to maintain the continuity of the blockchain and ensure that data cannot be tampered with.

[0119] 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.

[0120] Timestamp: The time when the block is created, recording 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.

[0121] View number (view_number): The view number in PBFT (Byzantine Fault Tolerance), used to determine the view of the current block, ensuring efficient fault tolerance under extreme weather conditions.

[0122] 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.

[0123] Primary_signature: The primary node’s signature on the block ensures that the block is created by a legitimate node, thus guaranteeing the credibility of the supply chain data in extreme weather conditions.

[0124] (2) Block Body

[0125] The block contains detailed information on all bidding and tendering 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:

[0126] Bid count (bid_count): The number of bids contained in the block, used to record the total number of bids submitted in a block.

[0127] 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.

[0128] Update mechanism: dynamic update and security reinforcement of block header and block body

[0129] In blockchain, block headers contain basic verification information (such as timestamps and the previous block hash), while the block body records dynamic supply chain data. The innovation of this disclosure lies in the introduction of a dynamic block body content update mechanism. Specifically, when supply chains are affected by extreme weather events (such as logistics delays or changes in equipment status), the block body can automatically update based on real-time information. This mechanism ensures real-time data and responsiveness, allowing all parties in the supply chain to make timely adjustments, especially when extreme weather events impact logistics or equipment operations.

[0130] Furthermore, the Merkle root value verification mechanism and multi-signature verification mechanism enhance the security of blockchain data. In extreme weather conditions, these safety measures ensure that blocks can only be added to the main chain after verification by multiple nodes, further ensuring the integrity and credibility of the data.

[0131] Smart contract function description:

[0132] Smart contracts are used to automate the bidding process on the blockchain, ensuring smooth and responsive processes, especially when extreme weather disrupts supply chain operations. Smart contracts can not only receive and evaluate bids, but also automatically select bids and adjust bidding strategies based on pre-set conditions during extreme weather events.

[0133] Structure Bid: defines the structure of bidding information, including bidder address, bid amount, project name, and whether it is selected.

[0134] Variable declaration:

[0135] owner: The owner of the contract, responsible for managing the entire contract life cycle.

[0136] bids: An array that stores all bid information to ensure that all bid information is properly recorded and processed in extreme weather conditions.

[0137] bidderToBidIndex: A mapping of bidder address to bid index, ensuring that relevant bid information can be quickly found under extreme weather conditions.

[0138] tenderingOpen: Indicates whether the tender is in an open state.

[0139] event:

[0140] BidPlaced: Records every bid submission, ensuring that bids can be traced even during inclement weather.

[0141] BidSelected: records the bid selection event to ensure that the winning bid information is open and transparent.

[0142] Modifiers:

[0143] onlyOwner: restricts functions that can only be called by the contract owner.

[0144] tenderingIsOpen: Restricts the function to be called only when tendering is open.

[0145] Constructor:

[0146] When deploying a contract, the contract owner initializes the contract, sets the contract owner as the contract deployer, and opens the bidding. When extreme weather impacts the supply chain, the contract owner can adjust the bidding strategy based on real-time conditions and ensure that the contract is executed according to the predetermined conditions.

[0147] function:

[0148] placeBid: Allows users to submit bids. The bid amount must be greater than zero. This function ensures successful submission even in extreme weather conditions, adjusting the bid window accordingly.

[0149] 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.

[0150] closeTendering: The contract owner closes the tender to ensure that no new bids will be accepted under extreme weather conditions, reducing human intervention.

[0151] getBids: Returns all bidding information to facilitate users to check the progress of bidding.

[0152] getSelectedBids: Returns all selected bid information to ensure the transparency and traceability of the bid selection process.

[0153] Deployment and testing:

[0154] In extreme weather events, the deployment and execution of smart contracts becomes particularly important to ensure that supply chains remain operational during disruptions.

[0155] (1) Contract deployment: The contract owner deploys the contract to ensure that the bidding process can be launched smoothly during extreme weather.

[0156] (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.

[0157] (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.

[0158] (4) Closing the tender: In the event of extreme weather, the contract owner closes the tender through the 'closeTendering' function to avoid new bids that increase risks.

[0159] (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, making it easier to make adjustments when severe weather affects the supply chain.

[0160] like Figure 2 As shown, an embodiment of the present disclosure provides a power equipment supply chain data interconnection system, including:

[0161] Data collection module, used to collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format;

[0162] The data security management module is used to process the data after unified formatting through asymmetric encryption, encrypt it in blocks, and link it in time series to form a blockchain;

[0163] 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 the data through cloud technology;

[0164] The data sharing module is used to analyze encrypted data and determine the operating status of the supply chain. When an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, realizing the interconnected sharing and feedback of data.

[0165] In this embodiment, the architecture of the power equipment supply chain data interconnection system considering extreme weather risk factors is as follows:

[0166] 1. Data acquisition module:

[0167] Smart sensors collect data from all supply chain entities in real time, and hash functions are used to unify the data format and ensure standardized data processing. This module not only collects product information, transaction records, and customer information from the power equipment supply chain, but also integrates weather monitoring sensors to obtain real-time extreme weather data.

[0168] Extreme weather monitoring integration: The system obtains early warning data on extreme weather, such as rainstorms, typhoons, and other meteorological information, from third-party meteorological service interfaces, and updates on-site weather conditions in real time through IoT sensors.

[0169] Data format unification and encryption: Hash functions are used to convert collected data into a unified format, and asymmetric encryption technology is used to ensure data security during transmission. Collected data is timestamped in the block to ensure the uniqueness and traceability of each record.

[0170] 2. Data storage module:

[0171] Utilizing blockchain's distributed ledger technology, decentralized data storage ensures immutability and supports multi-layered data encryption and key management. Secure backup of encrypted private and public keys safeguards key integrity and security during recovery from extreme weather events. Data is stored equally across all nodes, ensuring secure and complete data storage and recovery even in the event of node failure during extreme weather conditions.

[0172] 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, avoiding data loss due to failure of a single node.

[0173] 3. Data sharing module:

[0174] Smart contracts are responsible for the sharing and circulation of supply chain data, supporting automated data sharing, adaptive rights management, and the automatic execution of extreme weather response measures. Every data access and operation is recorded by the smart contract, and permissions and operation policies are dynamically adjusted based on the impact of extreme weather.

[0175] 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.

[0176] 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, access is given priority to key nodes such as logistics providers and warehouse managers to ensure the smooth implementation of emergency response measures.

[0177] 4.Data security management module:

[0178] This module uses asymmetric encryption technology and a multi-signature mechanism to ensure data security and privacy during transmission and storage, supporting dual authentication and dynamic permission adjustment. Specifically for extreme weather scenarios, the system provides abnormal data monitoring and correction capabilities to ensure data integrity under extreme weather conditions.

[0179] Asymmetric encryption: Utilizing asymmetric encryption technology, data is protected from tampering or leakage during extreme weather conditions. Key pairs are regularly updated in harsh environments to prevent potential leakage risks from long-term use of the same key pair. Data is encrypted before transmission through the blockchain, ensuring that even if some nodes fail due to weather conditions, the data remains protected through encryption.

[0180] 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.

[0181] 5. Consensus mechanism and data verification:

[0182] To ensure the accuracy and consistency of data transmission across all supply chain nodes, the blockchain incorporates a Practical Byzantine Fault Tolerance (PBFT) consensus mechanism. This optimized PBFT consensus mechanism enables the system to quickly identify data validity even under extreme weather conditions, ensuring efficient and stable data transmission across the supply chain.

[0183] 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 accounting authority and be timestamp. The timestamp is usually a character sequence that deliberately marks the source, original data, digital signature, issuance time and other important information of the data of each participant in the power equipment supply chain.

[0184] The data storage module uses distributed ledger technology to ensure that data cannot be tampered with.

[0185] In the bidding and procurement of power equipment and supplies, the power data storage module uses a blockchain peer-to-peer network for data transmission. Each node in the transmission process is equal and interacts in a flat topology. Each node handles both network routing protocols and blockchain information authentication, while also transmitting data between various participants in the power equipment supply chain. Any node can analyze, store, and authenticate data from all parties involved in the power equipment supply chain independently of other nodes. If the number of failed or illegal nodes does not exceed 51% of the total number of nodes, the storage and updates of the main blockchain will not be affected.

[0186] All types of collected data are uploaded to the blockchain and broadcast 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 information such as data structure, key instructions, address source, and timestamp. 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 sequence, thereby forming a time-sequential chain-distributed structure data storage with time tags, 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 strong tamper-proof properties, the data information security of each participant in the power equipment supply chain is guaranteed from the infrastructure.

[0187] In order to solve the problem of block recognition and trust in 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.

[0188] The data sharing module uses smart contracts to automatically execute data sharing agreements, ensuring the transparency and efficiency of the data sharing process.

[0189] Data sharing protocols based on smart contracts allow data owners to selectively share data with specific users or user groups. This includes: (1) Smart contracts define access rules and permissions between data owners, specific users, or user groups. The contract needs to verify the identity of data users and whether they belong to 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. Data owners can modify data access rules at any time and dynamically adjust permissions through the contract. (4) The contract records and maintains access records and access rights for specific data, uses encryption algorithms to protect data privacy, and records information on each data access to ensure tracking and auditing of data usage.

[0190] The data security management module provides abnormal data monitoring and alarm functions, and monitors the integrity and security of on-chain data in real time.

[0191] Blockchain system initialization and key generation. The system first selects a security parameter λ, calculates the initialization parameter pp that needs to be made public, and the master key that is 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 (UUID) is output, which is registered on the chain as the node identity ID. Any private information such as the geographic location of the collection terminal cannot be verified through the UUDI. By inputting the UUID and using the key generation function, the public and private key pair of the collection node can be obtained.

[0192] Data encryption and signing. Power data is encrypted using an asymmetric encryption algorithm to generate ciphertext, which is then digitally signed using the private key of the corresponding collection node. The asymmetric encryption process involves the following: the power equipment supply chain data management platform uses asymmetric encryption technology to generate a block's private key, ciphertext, and public key. Data from each participant in the power equipment supply chain is transmitted from block A to block B. The sender asymmetrically encrypts the data using the receiver's public key, encapsulates the ciphertext and key, and sends it to the receiver. The receiver uses the private key to decrypt the ciphertext into plaintext for data analysis and storage. Without the private key, the ciphertext data from each participant in the power equipment supply chain cannot be decrypted into plaintext, ensuring that the data of each participant in the power equipment supply chain cannot be illegally accessed. The signed ciphertext is hashed using a Merkle algorithm and distributedly stored in the form of a block header within the private chain. The ciphertext is then uploaded to neighboring data nodes simultaneously. Each node generates a hash index based on the received ciphertext data.

[0193] 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.

[0194] For the system embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred 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 can be selected according to actual needs to achieve the purpose of the disclosed solution. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0195] 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 functionality of one or more of these modules can be combined with at least part of the functionality 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 in hardware or firmware by any other reasonable means of integrating or packaging the circuit, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in an appropriate combination of any of them. Alternatively, at least one of all modules can be at least partially implemented as a computer program module, which can perform the corresponding function when the computer program module is executed.

[0196] The disclosed power equipment supply chain data interconnection system architecture that considers extreme weather risk factors has the following advantages:

[0197] (1) Enhanced data transparency and traceability:

[0198] Through the timestamp and hashing capabilities of blockchain technology, every piece of data in the supply chain has a clear history of its origin and changes. Especially during extreme weather conditions, data changes at every point in the supply chain can be recorded and traced in real time. During extreme weather events, supply chain participants can quickly access historical data to ensure it has not been tampered with. They can also adjust supply chain operations based on real-time weather warnings, improving data transparency and traceability.

[0199] (2) Information sharing automation and efficient collaboration:

[0200] Smart contracts enable supply chain participants to automatically share data and collaborate on operations under the influence of extreme weather, without requiring human intervention. By triggering contracts based on extreme weather warnings, the supply chain can automatically execute actions such as adjusting shipping routes and reallocating equipment, ensuring rapid data transmission and sharing during extreme weather events. This further enhances the supply chain's collaborative efficiency and emergency response capabilities in addressing meteorological risks.

[0201] (3) Data security and privacy protection are guaranteed:

[0202] The combination of distributed ledgers and asymmetric encryption provides robust security for supply chain data during extreme weather conditions. By dynamically adjusting access rights through smart contracts, data privacy is more strictly protected, preventing potential security vulnerabilities caused by extreme weather. Furthermore, asymmetric encryption ensures that critical data remains confidential and immutable during disasters, preventing the risk of unauthorized access and tampering.

[0203] (4) Supply chain process automation and cost optimization:

[0204] Smart contracts not only automate the management of power equipment procurement and logistics, reducing errors in intermediate links and manual operations, but also significantly improve supply chain efficiency by enabling the system to automatically execute emergency response operations, particularly in extreme weather conditions. In situations where extreme weather causes logistics delays or equipment damage, contracts can automatically reschedule resources, reducing the economic losses caused by supply chain disruptions and optimizing overall management and operating costs.

[0205] (5) System scalability and elasticity:

[0206] This system leverages decentralized and distributed storage technologies to maintain efficient operation in a multi-node environment, offering excellent scalability and attack resistance. In particular, when extreme weather conditions cause some nodes to fail, the system leverages cloud and blockchain technology to rapidly restore data, ensuring the continuity and security of supply chain data. Even under extreme conditions, the supply chain remains stable, demonstrating strong resilience and recovery capabilities, enhancing resilience against unforeseen risks.

[0207] See also Figure 3 The 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;

[0208] Memory 1130, for storing computer programs;

[0209] The processor 1110 is configured to implement the following power equipment supply chain data interconnection method when executing the program stored in the memory 1130 .

[0210] The communication bus 1140 can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 1140 can be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the figure shows only one thick line, but this does not mean that there is only one bus or only one type of bus.

[0211] The communication interface 1120 is used for communication between the electronic device and other devices.

[0212] The memory 1130 may include a random access memory (RAM) or a non-volatile memory, such as at least one disk storage. Alternatively, the memory 1130 may be at least one storage device located away from the processor 1110.

[0213] 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 gate or transistor logic devices, discrete hardware components.

[0214] The embodiments of the present disclosure further provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned method for interconnecting data in the power equipment supply chain.

[0215] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments, or may exist independently without being incorporated into the device / apparatus. The computer-readable storage medium carries one or more programs that, when executed, implement the power equipment supply chain data interconnection method according to the embodiments of the present disclosure.

[0216] According to embodiments of the present disclosure, a computer-readable storage medium may be a non-volatile computer-readable storage medium, such as, but not limited to, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), 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 that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0217] The above-described embodiments merely represent several implementation methods of the present disclosure. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present disclosure. It should be noted that a person skilled in the art would be able to make numerous variations and improvements without departing from the scope of the present disclosure, all of which fall within the scope of protection 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 supply chain data and extreme weather data, and process the data in a unified format; The data after formatting is asymmetrically encrypted in the block and linked in time series, including: the data after formatting is asymmetrically encrypted and encapsulated in a time-stamped block 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 node involved in data recording encapsulates the ciphertext and public key and links it to the blockchain, and the remaining nodes use the block header information to determine whether the block is legitimate. If the verification is successful, the data can be decrypted using the private key; The encrypted data is transmitted point-to-point through the partially decentralized network of the blockchain, and the data is stored and redundantly backed up in the cloud in real time through cloud technology. This includes: transmitting the encrypted data point-to-point through the decentralized network of the blockchain, giving priority to data transmission in the affected areas when extreme weather affects logistics; using cloud technology to back up the processed data in real time during the data transmission process; prioritizing the storage of real-time extreme weather data on secure and redundant cloud servers; using a multi-pair mapping model to segment and encrypt the data, and then storing it in a distributed manner on cloud servers, and adding redundant backups for block nodes affected by extreme weather; Analyze the encrypted data to determine the operating status of the supply chain; when an anomaly 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 snowstorm information.

3. The 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. The 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 of 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 run, data is automatically shared and feedback is provided, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

5. The method for interconnecting data in a power equipment supply chain according to claim 4, characterized in that: The smart contract can dynamically modify contract terms based on meteorological data and automatically optimize and adjust supply chain operations.

6. A power equipment supply chain data interconnection system, characterized in that: include: Data collection module, used to collect real-time data on the supply chain and extreme weather conditions, and process the data in a unified format; The data security management module is used to process the data after unified formatting through asymmetric encryption, encrypt it in blocks, and link it in time series to form a blockchain, including: processing the data after unified formatting through asymmetric encryption and encapsulating it in blocks with timestamps to form new nodes and link them to the main chain; blocks are composed of block headers and block bodies, containing device operation data, public keys and private keys; block nodes participating in data recording encapsulate the ciphertext and public key and link them to the blockchain, and the remaining nodes use the block header information to determine whether the block is legitimate. If the verification is successful, the data can be decrypted using the private key; The data storage module is used to transmit encrypted data point-to-point through the partially decentralized network of the blockchain, and simultaneously perform real-time cloud storage and redundant backup of the data through cloud technology. This includes: transmitting encrypted data point-to-point through the decentralized network of the blockchain, giving priority to data transmission in the affected areas when extreme weather affects logistics; using cloud technology to perform real-time backup of processed data during data transmission; prioritizing the storage of real-time extreme weather data on secure and redundant cloud servers; using a multi-pair mapping model to segment and encrypt data, and then store it in a distributed manner on cloud servers, and adding redundant backups for block nodes affected by extreme weather; The data sharing module is used to analyze encrypted data and determine the operating status of the supply chain. When an anomaly occurs, the smart contract is triggered to automatically execute the preset contract terms, realizing the interconnected sharing and feedback of data.

7. The power equipment supply chain data interconnection system according to claim 6, 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 snowstorm information.

8. The power equipment supply chain data interconnection system according to claim 6, 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.

9. The power equipment supply chain data interconnection system according to claim 6, 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 of 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 run, data is automatically shared and feedback is provided, so that all parties in the supply chain can obtain data in a timely manner and make corresponding adjustments.

10. The power equipment supply chain data interconnection system according to claim 9, characterized in that: The smart contract can dynamically modify contract terms based on meteorological data and automatically optimize and adjust supply chain operations.

11. An electronic device, characterized in that: The processor, the communication interface, the memory and the communication bus are connected to each other via the communication bus. Memory for storing computer programs; The processor is used to execute the program stored in the memory to implement the power equipment supply chain data interconnection method according to any one of claims 1 to 5.

12. 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 according to any one of claims 1 to 5 is implemented.

Images