Scheduling instruction trusted storage system based on block chain

Abstract

The invention discloses a block chain-based scheduling instruction trusted storage system, which relates to the technical field of block chains, and comprises a block chain network layer, an instruction acquisition module, an instruction verification module, a cross-chain storage module, a trusted tracing interface, an instruction life cycle management smart contract and a quantum security module, the block chain network layer comprises a plurality of block chain service units deployed at power dispatching nodes, the instruction acquisition module is used for acquiring a dispatching instruction data set and an associated digital signature generated by a dispatching terminal, and the instruction verification module is configured with a compliance verification rule base and multi-level verification logic. And the cross-chain storage module realizes a sub-chain storage architecture of scheduling instruction metadata and content data. According to the method, a double-chain architecture in which a metadata chain and a content chain are separated is adopted, and an improved Merkletree cross-chain verification technology is combined, so that on the premise of ensuring data privacy, cross-regional instruction synchronization delay is reduced, and meanwhile, fine-grained access control of sensitive instruction content is realized.

Description

Technical Field

[0001] The present invention relates to the field of blockchain technology, and in particular to a blockchain-based scheduling instruction trusted storage system. Background Art

[0002] With the rapid development of smart grids, power dispatch systems are facing challenges such as a surge in command data volume, diverse security risks, and stringent regulatory requirements. As the core carrier of power system operation control, the reliability of the generation, transmission, and storage of dispatch commands is directly related to the safe and stable operation of the power grid. Existing technologies have the following problems:

[0003] Existing dispatch instructions are mostly stored in centralized databases, which pose a single point of failure risk. The single-chain architecture used cannot balance the efficient verification of instruction metadata with the security and privacy requirements of content data.

[0004] At the same time, existing digital signature schemes mostly rely on a single key system, which is difficult to resist quantum computing attacks. In addition, biometric binding schemes have the risk of feature template leakage and cannot meet the two-factor authentication requirements of scheduling operations. The identity authentication mechanism is relatively fragile.

[0005] In cross-regional scheduling scenarios, existing cross-chain technologies suffer from high latency, making it difficult to meet the millisecond-level synchronization requirements for scheduling instructions.

[0006] Existing smart contract solutions lack the ability to trace the revision process of instructions, resulting in insufficient lifecycle management.

[0007] Current blockchain systems generally use static key systems, do not consider the threats posed by the development of quantum computers, and lack quantum security defenses. Summary of the Invention

[0008] The present invention provides a blockchain-based scheduling instruction trusted storage system to solve the problems raised in the above background technology.

[0009] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0010] A blockchain-based dispatch instruction trusted storage system includes a blockchain network layer, an instruction acquisition module, an instruction verification module, a cross-chain storage module, a trusted traceability interface, an instruction lifecycle management smart contract, and a quantum security module. The blockchain network layer includes multiple blockchain service units deployed at power dispatch nodes. The instruction acquisition module is used to obtain dispatch instruction data sets and associated digital signatures generated by dispatch terminals. The instruction verification module is configured with a compliance verification rule library and multi-level verification logic. The cross-chain storage module implements a split-chain storage architecture for dispatch instruction metadata and content data. The trusted traceability interface supports instruction verification services based on zero-knowledge proof.

[0011] A further improvement of the technical solution of the present invention is that when the dispatch terminal generates a dispatch instruction, a digital signature technology based on the SM2 algorithm is used to perform a mixed hash calculation on the dispatcher's biometrics and the device hardware fingerprint to generate a composite digital signature.

[0012] A further improvement of the technical solution of the present invention is that the instruction verification module includes:

[0013] Signature parsing unit, used to disassemble multi-source verification elements in composite digital signatures;

[0014] A topology verification unit verifies the physical feasibility of the instruction based on the current grid topology;

[0015] The policy compliance unit connects to the scheduling procedure knowledge base for semantic rule matching.

[0016] A further improvement of the technical solution of the present invention is that the cross-chain storage module adopts a dual-chain architecture:

[0017] Metadata chain: based on the alliance chain to store instruction hash, timestamp, signature summary and other verification elements;

[0018] Content chain: uses a private chain to store complete instruction content and execution context data;

[0019] The cross-chain interaction component realizes data anchoring between two chains through a customized atomic swap protocol.

[0020] A further improvement of the technical solution of the present invention is that the cross-chain interaction component includes:

[0021] The time-space synchronization engine ensures the millisecond-level consistency of the timestamps generated by the blocks on both chains;

[0022] The data fingerprint comparison unit uses an improved Merklee tree structure to verify cross-chain data integrity;

[0023] Dynamic sharding controller automatically adjusts the data sharding strategy for cross-chain communication based on network load.

[0024] A further improvement of the technical solution of the present invention is that the blockchain network layer adopts a hybrid consensus mechanism: the master node election adopts an improved DPoS algorithm based on scheduling authority level; the block verification stage adopts threshold signature technology to achieve Byzantine fault tolerance; and a temporary PBFT consensus channel with priority is introduced for emergency transaction processing.

[0025] A further improvement of the technical solution of the present invention is that the instruction lifecycle management smart contract includes:

[0026] Version tracing sub-contract, recording the difference data of multiple versions of instruction revisions;

[0027] Execute the feedback sub-contract to collect instruction execution status data of on-site equipment;

[0028] The audit alarm sub-contract detects abnormal operation modes through a preset rule engine.

[0029] A further improvement of the technical solution of the present invention is that the audit alarm sub-contract is integrated with:

[0030] Operation mode analysis model, which generates a normal operation baseline based on historical data training;

[0031] Real-time behavior detection unit, which uses streaming computing to identify abnormal patterns;

[0032] A graded response mechanism triggers different levels of early warning and intervention measures according to the risk level.

[0033] A further improvement of the technical solution of the present invention is that the quantum security module includes:

[0034] Quantum-resistant key management component, using NIST post-quantum cryptography standard algorithm;

[0035] Key sharding storage, which distributes encryption keys across nodes in different geographical locations;

[0036] Key lifecycle controller, which implements a dynamic key rotation mechanism based on the instruction validity period.

[0037] A further improvement of the technical solution of the present invention is that: a data storage method is now proposed, comprising:

[0038] Step S1: When collecting scheduling instructions, embed the physical unclonable characteristics of the device as data fingerprints;

[0039] Step S2: Processing the instruction data using a multi-layer nested encryption structure, including parameter layer encryption, logic layer encryption, and transport layer encryption;

[0040] Step S3: Elect the master storage node through the improved Raft protocol to establish a dynamic data sharding storage architecture;

[0041] Step S4: Generate a verifiable storage credential containing spatiotemporal features, write the credential data into the blockchain and synchronize it to the supervisory node.

[0042] Due to the adoption of the above technical solution, the present invention has the following technical advancements compared to the prior art:

[0043] 1. The present invention provides a blockchain-based scheduling instruction trusted storage system, which adopts a dual-chain architecture with a metadata chain separated from a content chain, combined with an improved Merklee tree cross-chain verification technology. While ensuring data privacy, it reduces the cross-region instruction synchronization delay and implements fine-grained access control of sensitive instruction content.

[0044] 2. The present invention provides a blockchain-based dispatch instruction trusted storage system, which adopts a hybrid hash algorithm of device hardware fingerprint and biometric features. Compared with the traditional single biometric authentication scheme, it reduces the risk of feature template leakage and meets the regulatory requirements of mandatory two-factor authentication for power dispatching systems.

[0045] 3. The present invention provides a blockchain-based scheduling instruction trusted storage system, which significantly improves verification efficiency while ensuring the immutability of instruction data through the mutual cooperation between the hybrid consensus mechanism and the multi-chain storage architecture.

[0046] 4. The present invention provides a blockchain-based trusted storage system for scheduling instructions, which uses smart contract-based instruction version management and biometric binding technology to achieve full-process traceability of instructions from generation, revision to execution, and can accurately locate specific operators and equipment nodes, thereby enhancing traceability throughout the entire life cycle.

[0047] 5. The present invention provides a blockchain-based scheduling instruction trusted storage system. After integrating a quantum security module, the system uses a dynamic key rotation mechanism and a post-quantum cryptographic algorithm to effectively defend against quantum computing attacks, ensuring long-term security against quantum computing attacks. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A schematic diagram of the system of the present invention;

[0049] Figure 2 It is a flow chart of the data storage method of the present invention. DETAILED DESCRIPTION

[0050] The present invention is described in further detail below in conjunction with the embodiments:

[0051] Example 1

[0052] like Figure 1As shown, the present invention provides a blockchain-based dispatch instruction trusted storage system, including a blockchain network layer, an instruction acquisition module, an instruction verification module, a cross-chain storage module, a trusted traceability interface, an instruction lifecycle management smart contract, and a quantum security module. The blockchain network layer includes multiple blockchain service units deployed at power dispatching nodes. The instruction acquisition module is used to obtain the dispatch instruction data set and associated digital signature generated by the dispatching terminal. The instruction verification module is configured with a compliance verification rule library and multi-level verification logic. The cross-chain storage module realizes a split-chain storage architecture for dispatch instruction metadata and content data. The trusted traceability interface supports instruction verification services based on zero-knowledge proof.

[0053] In this embodiment, the hardware configuration uses a dispatch terminal integrated with a HiSilicon Hi3861 security chip, a built-in national secret SM2 algorithm coprocessor, and biometric collection using a Goodix Technology GM1858 fingerprint sensor with a sampling resolution of 508dpi.

[0054] Example 2

[0055] like Figure 1 As shown, based on Example 1, the present invention provides a technical solution: preferably, when the dispatching terminal generates a dispatching instruction, a digital signature technology based on the SM2 algorithm is adopted to perform a mixed hash calculation on the dispatcher's biometrics and the device hardware fingerprint to generate a composite digital signature, and the instruction verification module includes: a signature parsing unit, which is used to disassemble the multi-source verification elements in the composite digital signature; a topology verification unit, which verifies the physical feasibility of the instruction according to the current power grid topology structure; a policy compliance unit, which connects to the dispatching procedure knowledge base for semantic rule matching; the cross-chain storage module adopts a dual-chain architecture: metadata chain: based on the alliance chain to store instruction hash, timestamp, signature summary and other verification elements; content chain: a private chain is used to store complete instruction content and execution context data; a cross-chain interaction component, which realizes data anchoring between the two chains through a customized atomic exchange protocol; the cross-chain interaction component includes: a time-space synchronization engine, which ensures the millisecond-level consistency of the timestamps generated by the blocks of the two chains; a data fingerprint comparison unit, which uses an improved Merklee tree structure to verify the integrity of cross-chain data; a dynamic sharding controller, which automatically adjusts the data sharding strategy of cross-chain communication according to the network load.

[0056] In this embodiment, the hybrid hash process includes first extracting the operator's fingerprint feature points to generate a 256-bit feature vector, reading the device PUF to generate a 128-bit physical fingerprint, and then using the SM3 algorithm to perform XOR hybrid hashing on the above data, and signing the hash value with the SM2 private key.

[0057] Example 3

[0058] like Figure 1As shown, based on Example 1, the present invention provides a technical solution: preferably, the blockchain network layer adopts a hybrid consensus mechanism: the master node election adopts an improved DPoS algorithm based on the scheduling authority level; the block verification stage adopts the threshold signature technology to achieve Byzantine fault tolerance; the emergency transaction processing introduces a temporary PBFT consensus channel with priority, and the instruction lifecycle management smart contract includes:

[0059] Version tracing sub-contract, recording the difference data of multiple versions of instruction revisions;

[0060] Execute the feedback sub-contract to collect instruction execution status data of on-site equipment;

[0061] Audit alarm sub-contract, detecting abnormal operation patterns through a preset rule engine;

[0062] The audit alarm sub-contract integration includes:

[0063] Operation mode analysis model, which generates a normal operation baseline based on historical data training;

[0064] Real-time behavior detection unit, which uses streaming computing to identify abnormal patterns;

[0065] A graded response mechanism triggers different levels of warning and intervention measures based on risk levels;

[0066] The quantum-safe module includes:

[0067] Quantum-resistant key management component, using NIST post-quantum cryptography standard algorithm;

[0068] Key sharding storage, which distributes encryption keys across nodes in different geographical locations;

[0069] Key lifecycle controller, which implements a dynamic key rotation mechanism based on the instruction validity period.

[0070] In this embodiment, the quantum-resistant key pool algorithm in the quantum security module uses CRYSTALS-Kyber, and the Byzantine node detection in the exception handling mechanism uses the improved HotStuff algorithm, which identifies abnormal nodes and initiates view switching within 3 seconds. The data recovery process includes first obtaining Merkle Patricia Trie proofs from the three nearest normal nodes, then using BLS threshold signatures to verify data authenticity, and finally reconstructing the lost data shards through cross-chain indexing.

[0071] Example 4

[0072] like Figure 2 As shown, based on embodiment 1, the present invention provides a data storage method: comprising: step S1: when collecting scheduling instructions, embedding the physical unclonable characteristics of the device as a data fingerprint;

[0073] Step S2: Processing the instruction data using a multi-layer nested encryption structure, including parameter layer encryption, logic layer encryption, and transport layer encryption;

[0074] Step S3: Elect the master storage node through the improved Raft protocol to establish a dynamic data sharding storage architecture;

[0075] Step S4: Generate a verifiable storage credential containing spatiotemporal features, write the credential data into the blockchain and synchronize it to the supervisory node.

[0076] The following is a detailed description of the working principle of the blockchain-based scheduling instruction trusted storage system.

[0077] like Figure 1 、 Figure 2 As shown in the figure, when the scheduling terminal generates a new instruction: the physical device layer collects the instruction data and embeds the PUF fingerprint, then the instruction processing layer performs multi-level verification, the smart contract triggers the version tracing sub-contract, then the cross-chain storage layer executes shard storage, the quantum security module starts dynamic key rotation, and finally the trusted tracing layer generates a zero-knowledge proof certificate.

[0078] While the present invention has been generally described above, modifications and improvements are readily apparent to those skilled in the art. Therefore, modifications and improvements that do not depart from the spirit of the present invention are intended to be within the scope of the present invention.

Claims

1. A blockchain-based scheduling instruction trusted storage system, characterized by: It includes a blockchain network layer, an instruction collection module, an instruction verification module, a cross-chain storage module, a trusted traceability interface, an instruction lifecycle management smart contract, and a quantum security module. The blockchain network layer contains multiple blockchain service units deployed on power dispatching nodes. The instruction collection module is used to obtain the dispatching instruction data set and associated digital signature generated by the dispatching terminal. The instruction verification module is configured with a compliance verification rule library and multi-level verification logic. The cross-chain storage module implements a split-chain storage architecture for dispatching instruction metadata and content data. The trusted traceability interface supports instruction verification services based on zero-knowledge proof.

2. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: When the dispatch terminal generates a dispatch instruction, it adopts a digital signature technology based on the SM2 algorithm to perform a mixed hash calculation on the dispatcher's biometrics and the device hardware fingerprint to generate a composite digital signature.

3. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: The instruction verification module includes: Signature parsing unit, used to disassemble multi-source verification elements in composite digital signatures; A topology verification unit verifies the physical feasibility of the instruction based on the current grid topology; The policy compliance unit connects to the scheduling procedure knowledge base for semantic rule matching.

4. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: The cross-chain storage module adopts a dual-chain architecture: Metadata chain: based on the alliance chain to store instruction hash, timestamp, signature summary and other verification elements; Content chain: uses a private chain to store complete instruction content and execution context data; The cross-chain interaction component realizes data anchoring between two chains through a customized atomic swap protocol.

5. The blockchain-based scheduling instruction trusted storage system according to claim 4, characterized in that: The cross-chain interaction component includes: The time-space synchronization engine ensures the millisecond-level consistency of the timestamps generated by the blocks on both chains; The data fingerprint comparison unit uses an improved Merklee tree structure to verify cross-chain data integrity; Dynamic sharding controller automatically adjusts the data sharding strategy for cross-chain communication based on network load.

6. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: The blockchain network layer adopts a hybrid consensus mechanism: the master node election adopts an improved DPoS algorithm based on scheduling authority level; Threshold signature technology is used in the block verification phase to achieve Byzantine fault tolerance; A temporary PBFT consensus channel with priority is introduced for emergency transaction processing.

7. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: The instruction lifecycle management smart contract includes: Version tracing sub-contract, recording the difference data of multiple versions of instruction revisions; Execute the feedback sub-contract to collect instruction execution status data of on-site equipment; The audit alarm sub-contract detects abnormal operation modes through a preset rule engine.

8. The blockchain-based scheduling instruction trusted storage system according to claim 7, characterized in that: The audit alarm sub-contract integration includes: Operation mode analysis model, which generates a normal operation baseline based on historical data training; Real-time behavior detection unit, which uses streaming computing to identify abnormal patterns; A graded response mechanism triggers different levels of early warning and intervention measures according to the risk level.

9. The blockchain-based scheduling instruction trusted storage system according to claim 1, characterized in that: The quantum security module includes: Quantum-resistant key management component, using NIST post-quantum cryptography standard algorithm; Key sharding storage, which distributes encryption keys across nodes in different geographical locations; Key lifecycle controller, which implements a dynamic key rotation mechanism based on the instruction validity period.

10. A data storage method is proposed for a blockchain-based scheduling instruction trusted storage system according to claims 1-9, characterized in that: include: Step S1: When collecting scheduling instructions, embed the physical unclonable characteristics of the device as data fingerprints; Step S2: Processing the instruction data using a multi-layer nested encryption structure, including parameter layer encryption, logic layer encryption, and transport layer encryption; Step S3: Elect the master storage node through the improved Raft protocol to establish a dynamic data sharding storage architecture; Step S4: Generate a verifiable storage credential containing spatiotemporal features, write the credential data into the blockchain and synchronize it to the supervisory node.

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