A blockchain-based electronic archive credible storage and intelligent traceability management system and method

Abstract

The application relates to the technical field of traceability systems, and discloses an electronic archive credible storage and intelligent traceability management system and method based on a block chain, which comprises a data acquisition and encapsulation module, a block chain storage module and an intelligent traceability management module. When the electronic archive credible storage is carried out, the data encapsulation module is arranged to formulate archive integrity verification rules and set differentiated storage strategies for different archive types, so that the definiteness of archive storage processes of various types is ensured, and meanwhile, archive data is real-timely generated into a hash digest and written into a block chain, so that the risk of illegal tampering of the electronic archive during storage can be reduced, the non-repudiation of the electronic archive storage process can be ensured, the credible foundation of judicial storage can be further consolidated, and when abnormal operation is detected, the problem archive can be automatically frozen through an intelligent contract and the evidence chain can be solidified, so that the electronic archive traceability process has real-time response and legal evidence consolidation capabilities, and the judicial effectiveness of the traceability result is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traceability systems, in particular to an electronic archive credible storage and intelligent traceability management system and method based on a block chain. BACKGROUND

[0002] A traceability system is a production control system that traces products from raw material procurement, production and processing to after-sales circulation in the whole life cycle through unique traceability codes and batch numbers. It relies on Internet of Things technology to integrate two-dimensional codes and RFID carriers to build a traceability system covering production parameters, quality testing and logistics information. The core functions include part traceability, supply chain data integration and precise recall of defective products.

[0003] The electronic archive credible storage and intelligent traceability management system and method based on a block chain is a core archive management tool that combines distributed networks and encryption technology. It is a key infrastructure for realizing the credible supervision of the whole life cycle of electronic archives and is responsible for ensuring the integrity and operation traceability of electronic archives. The tamper-proof nature of the block chain technology can build a credible storage environment to ensure that any operation during the archive circulation process is accurately recorded. At the same time, the traceability mechanism driven by the smart contract can automatically verify the compliance of the operation chain to strengthen the legal effectiveness of electronic archive management.

[0004] Currently, since electronic archive management systems mostly use centralized storage architecture, when tracing archive operation behavior, relying on manual log auditing cannot verify in real time whether the archive content has been illegally tampered with. When key historical version records are missing and logs are erased, the operation traceability chain will be broken, making it difficult to meet the credibility requirements of judicial storage.

[0005] Therefore, the present application provides an electronic archive credible storage and intelligent traceability management system and method based on a block chain to solve the above problems. SUMMARY

[0006] (I) Technical problems solved

[0007] In view of the deficiencies of the prior art, the present application provides an electronic archive credible storage and intelligent traceability management system and method based on a block chain to solve the problems raised in the background art.

[0008] (II) Technical solutions

[0009] To achieve the above purpose, the present application provides the following technical solutions: an electronic archive credible storage and intelligent traceability management system and method based on a block chain, comprising the following steps:

[0010] S1, collect electronic archive original data, including archive content data and its associated metadata, the metadata at least containing a creation timestamp and a creator identifier;

[0011] S2, performing hash calculation and digital signature processing on the original data to generate blockchain encapsulation data containing archive hash value and signature;

[0012] S3, writing the blockchain encapsulation data into a distributed blockchain network to generate tamper-proof evidence records through a consensus mechanism;

[0013] S4, real-time monitoring of electronic archive operation events, generating monitoring alarms when abnormal access and modification behaviors are detected;

[0014] S5, triggering smart contract based on the monitoring alarm, automatically extracting relevant evidence records and generating tracing instructions;

[0015] S6, querying blockchain historical data through the smart contract to obtain operation timeline and operator information associated with abnormal events;

[0016] S7, analyzing historical operation data and generating a trusted traceability report, the report containing abnormal point markers and operation chain verification results.

[0017] Preferably, the S1 comprises the following steps:

[0018] S11, collecting archive content data uploaded by users through an electronic archive management system interface, the archive content data format including PDF, DOC and JPG, and using an encrypted transmission protocol to ensure data security;

[0019] S12, automatically extracting archive metadata through a system log module, the archive metadata including creation timestamp, creator digital certificate and archive classification label, the creation timestamp being synchronized with global standard time based on NTP protocol.

[0020] Preferably, the S2 comprises the following steps:

[0021] S21, inputting the archive content data and the archive metadata into a hash algorithm generation unit to calculate archive hash value using SHA-256 algorithm;

[0022] S22, performing digital signature processing based on the archive hash value and the creator digital certificate to generate digital signature using RSA encryption technology;

[0023] S23, constructing blockchain encapsulation data format, including hash value field, signature field and metadata index field, the format being JSON and Protobuf structure.

[0024] Preferably, the S3 comprises the following steps:

[0025] S31, obtaining the blockchain encapsulation data;

[0026] S32, send the blockchain packaging data to the blockchain network node, the blockchain network is Ethereum and Hyperledger Fabric, and pay the gas fee to confirm the transaction;

[0027] S33, the blockchain network generates a notarization block, including block hash, timestamp and transaction ID, and broadcasts to all nodes to generate a blockchain notarization record.

[0028] Preferably, the S4 comprises the following steps:

[0029] S41, deploy the archive monitoring agent program to capture operation event data, including operation frequency and operation interval time ;

[0030] S42, use threshold comparison algorithm to judge abnormal events, the formula is:

[0031] , Where: represents the operation frequency, unit Hz, defined as the number of operations per second

[0032] represents the preset frequency threshold, unit Hz, typical value 10Hz, detect high frequency abnormal access;

[0033] represents the operation interval time, unit s, defined as the time difference between continuous operations;

[0034] represents the preset time threshold, unit s, typical value 0.5s, detect short interval abnormal modification;

[0035] When the formula condition is met, generate a monitoring alarm.

[0036] Preferably, the S5 comprises the following steps:

[0037] S51, when the monitoring alarm marks an abnormal event, extract the related blockchain notarization record;

[0038] S52, construct a trace trigger instruction, including abnormal event ID, archive hash and trace range parameter, the trace range parameter defines the query time window;

[0039] S53, input the trace trigger instruction into the smart contract interface to trigger the smart contract to execute.

[0040] Preferably, the S6 comprises the following steps:

[0041] S61, the smart contract parses the trace trigger instruction, and accesses the blockchain network to query historical transactions;

[0042] S62, all related operation records including creation, modification and access events are retrieved based on the archive hash index;

[0043] S63, the operation records are filtered to generate archive history trace data, and the data format is time series data set.

[0044] Preferably, the S7 comprises the following steps:

[0045] S71, the historical operation data is imported into an analysis engine to calculate operation sequence similarity;

[0046] S72, an abnormal pattern is identified using a similarity calculation formula, and the formula is:

[0047] Wherein: represents the operation sequence similarity, the value range is [0, 1], and 1 represents complete matching;

[0048] represents the data size of the i-th operation, the unit is B, and is defined as the number of archive bytes involved in the operation;

[0049] represents the average historical data size, the unit is B, and is calculated based on historical records;

[0050] represents the data size standard deviation, the unit is B, and the normalized dimension;

[0051] represents the operation sequence length;

[0052] When , it is marked as an abnormal point;

[0053] S73, a report containing the similarity analysis result is output.

[0054] Preferably, the smart contract in S6 is written in Solidity language, including a trace logic function and a permission verification function, the trace logic function defines the query rule, and the permission verification function ensures that only authorized users can trigger the trace.

[0055] Preferably, the system comprises a data acquisition and packaging module, a blockchain storage module, and an intelligent trace management module;

[0056] The data acquisition and packaging module comprises an archive content acquisition unit, a metadata extraction unit, and a data packaging unit;

[0057] The archive content collection unit collects electronic archive content data through a system interface; the metadata extraction unit automatically extracts archive metadata; and the data encapsulation unit generates blockchain encapsulation data based on the archive content data and the metadata;

[0058] The blockchain storage module includes a transaction submission unit, a block generation unit, and a storage record storage unit.

[0059] The transaction submission unit sends the blockchain encapsulation data to a blockchain network; the block generation unit processes blockchain transactions to generate a storage block; and the storage record storage unit stores the blockchain storage record.

[0060] The intelligent traceability management module includes a state monitoring unit, a traceability triggering unit, a history query unit, and a report generation unit.

[0061] The state monitoring unit monitors the state of the electronic archive in real time and detects abnormal events; the traceability triggering unit generates a traceability triggering instruction based on the abnormal event; the history query unit queries the history operation record by calling the smart contract; and the report generation unit analyzes the historical traceability data and outputs a credible traceability report.

[0062] (Three) Beneficial effects

[0063] Compared with the prior art, the present application provides an electronic archive credible storage and intelligent traceability management system and method based on blockchain, which has the following beneficial effects:

[0064] 1. In the present application, by setting the data encapsulation module, when performing electronic archive credible storage, the archive integrity verification rules are formulated, and the differentiated storage strategies are set for different archive types, which ensures the definiteness of the archive storage process of various archives, and at the same time, the archive data is generated in real time Hash summary and written into the blockchain, which can reduce the risk of illegal tampering of electronic archives during storage, ensure the non-repudiation of the electronic archive storage process, and further consolidate the credible basis of judicial storage.

[0065] 2. In the present application, by setting the monitoring and analysis module, when performing archive operation behavior traceability, the deviation value of the operation event chain and the blockchain storage record is captured in real time, the space-time node of the tampering behavior is accurately located, so that the system can reduce the problem of disconnection between operation record and archive version in traditional log audit, and when detecting abnormal operation, the smart contract can automatically freeze the problem archive and solidify the evidence chain, so that the electronic archive traceability process has real-time response and legal evidence fixing ability, and ensures the judicial effectiveness of the traceability result.

[0066] 3. In the present application, by setting the classification traceability module, when carrying out mixed management of multiple types of archives, the sensitivity of the archives is automatically graded and evaluated, and fine-grained operation traceability rules are generated differently, the traceability depth is dynamically adjusted according to the compliance requirements of different archives such as contracts, medical records and government documents, so that the system can realize full-process penetrating audit of high-value archives and light-weight supervision of low-risk archives, and reduce the level of precision and resource utilization efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0067] Figure 1 A flowchart of the electronic archive trusted storage and intelligent traceability management method based on the blockchain of the present application;

[0068] Figure 2 A framework diagram of the electronic archive trusted storage and intelligent traceability management system based on the blockchain of the present application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0070] Please refer to Figure 1 The electronic archive trusted storage and intelligent traceability management system and method based on the blockchain comprises the following steps:

[0071] S1, collect electronic archive original data, including archive content data and its associated metadata, and the metadata at least contains creation timestamp and creator identifier;

[0072] S2, perform hash calculation and digital signature processing on the original data to generate blockchain encapsulation data containing archive hash value and signature;

[0073] S3, write the blockchain encapsulation data into a distributed blockchain network, and generate an unalterable storage record through a consensus mechanism;

[0074] S4, monitor electronic archive operation events in real time, and generate monitoring alarms when abnormal access and modification behaviors are detected;

[0075] S5, trigger the smart contract based on the monitoring alarm, automatically extract the relevant storage records and generate traceability instructions;

[0076] S6, query the blockchain historical data through the smart contract to obtain the operation timeline and operator information associated with the abnormal event;

[0077] S7, analyze historical operation data and generate a trusted traceability report, the report containing abnormal point marking and operation chain verification results;

[0078] S1 includes the following steps:

[0079] S11, collect user uploaded archive content data through an electronic archive management system interface, the archive content data format including PDF, DOC and JPG, and an encrypted transmission protocol is used to ensure data security;

[0080] S12, automatically extract archive metadata through a system log module, the archive metadata including creation timestamp, creator digital certificate and archive classification label, the creation timestamp being synchronized with global standard time based on NTP protocol;

[0081] S2 includes the following steps:

[0082] S21, input the archive content data and the archive metadata into a hash algorithm generation unit, and calculate the archive hash value using SHA-256 algorithm;

[0083] S22, perform digital signature processing based on the archive hash value and the creator digital certificate, and generate a digital signature using RSA encryption technology;

[0084] S23, construct a blockchain encapsulation data format, including a hash value field, a signature field and a metadata index field, in JSON and Protobuf structure;

[0085] S3 includes the following steps:

[0086] S31, obtain the blockchain encapsulation data;

[0087] S32, send the blockchain encapsulation data to blockchain network nodes, the blockchain network being Ethereum and Hyperledger Fabric, and pay a Gas fee to confirm the transaction;

[0088] S33, the blockchain network generates a notarization block, including block hash, timestamp and transaction ID, and broadcasts to all nodes to generate a blockchain notarization record;

[0089] S4 includes the following steps:

[0090] S41, deploy an archive monitoring agent program to capture operation event data, including operation frequency and operation interval time ;

[0091] S42, use a threshold comparison algorithm to determine abnormal events, the formula being:

[0092] , wherein: Operation frequency, unit: Hz, defined as the number of operations per second

[0093] Pre-set frequency threshold, unit: Hz, typical value is 10 Hz, detect high-frequency abnormal access;

[0094] Operation interval time, unit: s, defined as the time difference between consecutive operations;

[0095] Pre-set time threshold, unit: s, typical value is 0.5 s, detect short interval abnormal modification;

[0096] When the formula condition is met, generate a monitoring alarm;

[0097] S5 includes the following steps:

[0098] S51, when the monitoring alarm marks an abnormal event, extract the relevant blockchain record;

[0099] S52, construct a trace trigger instruction, including abnormal event ID, archive hash and trace range parameter, the trace range parameter defines the query time window;

[0100] S53, input the trace trigger instruction into the smart contract interface, trigger the smart contract to execute;

[0101] S6 includes the following steps:

[0102] S61, the smart contract parses the trace trigger instruction, accesses the blockchain network to query historical transactions;

[0103] S62, based on the archive hash index, retrieve all related operation records, including creation, modification and access events;

[0104] S63, filter the operation records, generate archive history trace data, data format is time series data set;

[0105] S7 includes the following steps:

[0106] S71, import the historical operation data into the analysis engine, calculate the operation sequence similarity;

[0107] S72, use the similarity calculation formula to identify abnormal patterns, the formula is:

[0108] Where: Operation sequence similarity, value range [0, 1], 1 indicates a perfect match;

[0109] Data size of the i-th operation, in B, defined as the number of bytes of the file involved in the operation;

[0110] Historical average data size, in B, calculated based on historical records;

[0111] Data size standard deviation, in B, normalized dimension;

[0112] Operation sequence length;

[0113] When is marked as an abnormal point;

[0114] S73, output a report containing the similarity analysis results;

[0115] The smart contract in S6 is written in Solidity language, including a traceability logic function and a permission verification function. The traceability logic function defines the query rules, and the permission verification function ensures that only authorized users can trigger the traceability;

[0116] The system includes a data collection and packaging module, a blockchain storage module, and an intelligent traceability management module.

[0117] The data collection and packaging module includes an archive content collection unit, a metadata extraction unit, and a data packaging unit.

[0118] The archive content collection unit collects electronic archive content data through the system interface; the metadata extraction unit automatically extracts archive metadata; and the data packaging unit generates blockchain packaging data based on the archive content data and metadata.

[0119] The blockchain storage module includes a transaction submission unit, a block generation unit, and a storage record storage unit.

[0120] The transaction submission unit sends the blockchain packaging data to the blockchain network; the block generation unit processes blockchain transactions to generate storage blocks; and the storage record storage unit stores blockchain storage records.

[0121] The intelligent traceability management module includes a state monitoring unit, a traceability triggering unit, a historical query unit, and a report generation unit.

[0122] The state monitoring unit monitors the state of electronic archives in real time and detects abnormal events; the traceability triggering unit generates a traceability triggering instruction based on abnormal events; the historical query unit calls the smart contract to query historical operation records; and the report generation unit analyzes historical traceability data and outputs a credible traceability report.

[0123] Embodiment one, practical operation process of electronic archive credible storage and intelligent traceability management system and method based on blockchain

[0124] When the system starts, initialize the data acquisition module to connect with the blockchain node, select Ethereum as the underlying chain network, configure the smart contract address and Gas fee parameters, when the user uploads the electronic document through the government archive management platform, the data acquisition module automatically captures the archive content data, and extracts the metadata at the same time.

[0125] After the data encapsulation module receives the original data, it generates an archive hash value using the SHA-256 algorithm, and generates a digital signature by encrypting the creator's private key using RSA. The completed blockchain data structure includes a hash value field, a signature field, and a metadata index field. It is sent to the Ethereum test network through the transaction submission unit. The blockchain storage module pays 0.0012 ETH as the Gas fee, and generates a storage block after PoW consensus verification. This block contains a permanent binding record of the timestamp and the archive hash.

[0126] In the archive monitoring phase, the monitoring agent deployed in the government system listens to the API operation log in real time. When it detects that the same IP has initiated 6 archive download requests within 3 seconds, the monitoring analysis module calculates that it has exceeded the preset frequency threshold , and immediately marks it as an abnormal access event. The traceability triggering unit extracts the abnormal event ID and the associated archive hash value, calls the on-chain smart contract and passes in the traceability time window parameter.

[0127] The smart contract retrieves all operation records containing the target hash value from the blockchain history data, filters out the operation sequence within the time window, and analyzes the similarity of the operation sequence. When the analysis engine calculates the similarity score of the 5th operation data size deviating from the historical average value , the similarity score is calculated as 0.48 by substituting the formula, and it is determined as an abnormal tampering behavior. The report generation unit outputs the credible traceability report according to this, marks the abnormal operation time point, operator IP and tampering behavior confidence, and sends it to the audit department after adding a digital signature.

[0128] In this embodiment, the system automatically identifies that the electronic document belongs to "high sensitivity level" through the archive classification module, activates the deep traceability strategy, and compared with the traditional centralized log audit, the system completes the whole process from abnormal detection to report generation within 1 minute and 17 seconds, the tampering behavior identification accuracy reaches 99.1%, in the parallel test of medical archive management scene, the traceability efficiency of medical record modification event is improved by 12 times, and the false positive rate is reduced to 0.3%.

[0129] Embodiment two, hospital electronic medical record management system application scenario

[0130] In the initialization phase, the data acquisition module accesses the hospital HIS system, configures Hyperledger Fabric as the underlying blockchain network, and loads the smart contract conforming to the HIPAA specification. When the doctor creates a patient CT image report through the electronic medical record terminal, the system automatically captures the image data and metadata.

[0131] The data encapsulation module starts the multi-protection mechanism: first, it generates an image hash value using the SHA-512 algorithm, then it generates a two-factor signature by encrypting the doctor's digital certificate through ECDSA, and encapsulates the data in Protobuf binary format. The transaction submission unit pushes it to the Fabric network, and the blockchain storage module completes transaction verification within 12 seconds through the Raft consensus mechanism. The private desensitization label automatically triggers the off-chain storage rule for the patient's name and ID number, and only the irreversible hash index is uploaded.

[0132] In the medical record access monitoring phase, the monitoring analysis module deploys an audit agent to track operation behavior in real time. When the system detects that a medical record modification operation is only 8 seconds apart from the previous access, it immediately marks it as an abnormally short tampering event. The trace triggering unit extracts the image hash value associated with the event, calls the HIPAA smart contract and sets the trace time window to 72 hours, and synchronously activates the deep audit mode.

[0133] The smart contract retrieval finds that the target medical record has 3 legal modifications and 1 abnormal modification within the time window. When the analysis engine compares the operation sequence, it finds that the data size of the abnormal modification corresponds to the historical average modification amount with a deviation of 99.8% and a similarity score of 0.02. Further association with the screenshot hash chain confirms that the operation did not open the image file and only modified the text diagnosis conclusion. The report generation unit outputs the HIPAA compliance audit report based on this, highlighting the abnormal modification time point, operation device MAC address, and tampering behavior evidence chain. After the supervisor doctor digitally signs it, it is synchronized to the hospital ethics committee.

[0134] This embodiment verifies the adaptability of the system in sensitive medical scenarios: classification and traceability efficiency: deep audit is automatically enabled for HIPAA high-sensitive data, while ordinary nursing records use lightweight traceability. The response time is compressed from 6.5 hours in traditional manual audit to 12 minutes. Real-time correction ability: the capture accuracy of short-time tampering behavior reaches 100%, and the false positive rate is reduced to 0.1%. Judicial effectiveness enhancement: the evidence chain composed of two-factor signature and operation snapshot hash has a 100% success rate in simulated courtroom testimony. Cross-industry tests show that the system can also improve audit efficiency by 11 times in the financial contract traceability scenario.

[0135] It is to be understood that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting; it is not intended to exclude myriad other embodiments of the present application that other inventors can develop based on the same general inventive concepts embodied by the described embodiments. That is, although the present application is described in terms of particular embodiments and implementations, it is to be understood that the terminology used is for the purpose of descriptive clarity and that it should be taken in a descriptive sense and not a limiting sense.

[0136] While the embodiments of the application have been shown and described herein, it is to be understood that the application is not limited to these embodiments. Rather, many modifications, changes, substitutions, and alterations can be made to the embodiments of the application without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A blockchain-based method for trusted storage and intelligent traceability management of electronic archives, characterized in that: It comprises the following steps: S1, collecting electronic archive original data, including archive content data and its associated metadata, the metadata at least containing creation timestamp and creator identification; S2, performing hash calculation and digital signature processing on the original data to generate blockchain encapsulation data containing archive hash value and signature; S3, writing the blockchain encapsulation data into a distributed blockchain network, generating an unalterable evidence record through a consensus mechanism; S4, real-time monitoring electronic archive operation events, capturing operation event data through deploying archive monitoring agent, including operation frequency and operation interval time and using threshold comparison algorithm to judge abnormal events, whose formula is: wherein represents operation frequency, is preset frequency threshold, represents operation interval time, is preset time threshold, and generating monitoring alarm when satisfying formula condition; S5, triggering smart contract based on the monitoring alarm, automatically extracting relevant evidence records and generating tracing instructions; S6, querying blockchain historical data through the smart contract to obtain operation timeline and operator information associated with abnormal events; S7. Analyze historical operation data and generate a reliable traceability report. Import historical operation data into the analysis engine to calculate the similarity of operation sequences. Use the similarity calculation formula to identify abnormal patterns. The formula is as follows: ,in Indicates the similarity of operation sequences. This represents the data size of the i-th operation. Indicates the historical average data size. Indicates the standard deviation of the data size. Indicates the length of the operation sequence, when The time point is marked as an anomaly, and the report includes the anomaly marker and the operation chain verification results.

2. The blockchain-based electronic archive credible storage and intelligent traceability management method according to claim 1, characterized in that: The S1 comprises the following steps: S11, collecting user uploaded archive content data through an electronic archive management system interface, the archive content data format including PDF, DOC and JPG, and using an encrypted transmission protocol to ensure data security; S12, automatically extracting archive metadata through a system log module, the archive metadata including creation timestamp, creator digital certificate and archive classification label, and the creation timestamp being synchronized with global standard time based on NTP protocol. 3.The blockchain-based electronic archive trusted storage and intelligent traceability management method of claim 2, characterized in that: The S2 comprises the following steps: S21, inputting the archive content data and the archive metadata into a hash algorithm generation unit to calculate the archive hash value using SHA-256 algorithm; S22, performing digital signature processing based on the archive hash value and the creator digital certificate, and generating a digital signature using RSA encryption technology; S23, constructing a blockchain encapsulation data format, including a hash value field, a signature field and a metadata index field, and the format being a JSON and Protobuf structure. 4.The blockchain-based electronic file credible storage and intelligent traceability management method of claim 1, wherein: The S3 comprises the following steps: S31, obtaining the blockchain encapsulation data; S32, sending the blockchain encapsulation data to a blockchain network node, the blockchain network being Ethereum and Hyperledger Fabric, and paying a Gas fee to confirm a transaction; S33, the blockchain network generates an evidence block, including block hash, timestamp and transaction ID, and broadcasts to all nodes to generate a blockchain evidence record. 5.The blockchain-based electronic file credible storage and intelligent traceability management method according to claim 1, characterized in that: The S5 comprises the following steps: S51, when the monitoring alarm marks an abnormal event, extracting relevant blockchain evidence records; S52, constructing a tracing trigger instruction, including abnormal event ID, archive hash and tracing range parameter, and the tracing range parameter defining a query time window; S53, inputting the tracing trigger instruction into a smart contract interface to trigger the smart contract to execute. 6.The blockchain-based electronic file trusted archiving and intelligent traceability management method of claim 2, wherein: The S6 comprises the following steps: S61, the smart contract parses the tracing trigger instruction to access the blockchain network to query historical transactions; S62, retrieving all relevant operation records based on archive hash index, including creation, modification and access events; S63, filtering operation records to generate archive historical tracing data, and the data format being time series data set. 7.The blockchain-based electronic file trusted archiving and intelligent traceability management method of claim 1, wherein: The smart contract in the S6 is written in Solidity language, including a traceability logic function and an authority verification function, the traceability logic function defines a query rule, and the authority verification function ensures that only authorized users can trigger traceability.

8. The blockchain-based electronic archives credible storage and intelligent traceability management system, which implements the blockchain-based electronic archives credible storage and intelligent traceability management method according to any one of claims 1-7, characterized in that: The system comprises a data acquisition and encapsulation module, a blockchain storage module, and an intelligent traceability management module. The data acquisition and encapsulation module comprises an archive content acquisition unit, a metadata extraction unit, and a data encapsulation unit. The archive content acquisition unit acquires electronic archive content data through a system interface; the metadata extraction unit automatically extracts archive metadata; and the data encapsulation unit generates blockchain encapsulation data based on the archive content data and the metadata. The blockchain storage module comprises a transaction submission unit, a block generation unit, and a storage record storage unit. The transaction submission unit sends the blockchain encapsulation data to a blockchain network. The block generation unit processes blockchain transactions to generate storage blocks. The storage record storage unit stores blockchain storage records. The intelligent traceability management module comprises a state monitoring unit, a traceability triggering unit, a historical query unit, and a report generation unit. The state monitoring unit monitors the state of electronic archives in real time and detects abnormal events; the traceability triggering unit generates a traceability triggering instruction based on abnormal events; the historical query unit calls a smart contract to query historical operation records; and the report generation unit analyzes historical traceability data and outputs a credible traceability report.

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