CN-121981366-A - Ecological credit traceability system based on block chain

CN121981366ACN 121981366 ACN121981366 ACN 121981366ACN-121981366-A

Abstract

The invention relates to the technical field of data processing, in particular to an ecological credit traceability system based on a blockchain, wherein a physical anchoring registration module is used for establishing a device entity trust source, a quantum enhancement packaging module is used for generating a device composite fingerprint comprising an environmental data hash value, a device running state abstract and a quantum signature, and a quantum enhancement metadata packet is formed by combining a time anchor point. The dynamic purification module outputs a purification data set with a credibility score and a purification track evidence, and the polymorphic verification contract module generates a dynamic confidence coefficient. The double-chain storage engine generates space-time anchors. The three-way integration module generates a final value integral. The entropy subtracting feedback hub forms a recursive verification loop. The enterprise credit rating engine embeds the dynamic confidence coefficient into the ecological value dimension, realizes cross-domain coupling of environment data and enterprise credit, and finally solves the problem of end-to-end credibility tracing of the data under the chain in the scenes of industrial emission monitoring and the like.

Inventors

ZHU JIANGUANG
ZHANG XIAOLUN
YANG LAN
LI HONGCHAO
DIAO WENHAO
XIE CHUANXIN
LIU WENTING
WANG LINLIN
LIU YU
YUAN LIMENG
JIN GE
GUAN XIN

Assignees

山东港口科技集团有限公司

Dates

Publication Date: 20260505
Application Date: 20251211

Claims (10)

1. Ecological credit traceability system based on block chain, its characterized in that includes: The system comprises a physical anchoring registration module, a block chain link point verification key uniqueness, a non-changeable account book, a data acquisition authority activating module and a data acquisition authority activating module, wherein the physical anchoring registration module is used for responding to a registration request of an accessed environment acquisition device, extracting a hardware-level key fingerprint of the device, generating an encrypted registration packet by combining a device geographic coordinate and an environment type identifier, and anonymously submitting a block chain through zero knowledge proof; The quantum enhancement packaging module triggers the quantum random source to generate a true random entropy source when the registered equipment collects environmental parameters, the entropy source is utilized to drive and generate equipment composite fingerprints comprising environmental data hash values, equipment running state abstracts and quantum signatures, the equipment composite fingerprints and the collection time anchor points form quantum enhancement metadata packets, and the quantum enhancement metadata packets are input to the dynamic purification module through equipment key signatures; The dynamic purification module is used for identifying the type of environmental data in the received quantum enhancement metadata packet, loading an adaptive algorithm container to execute data purification processing, outputting a purification data set with reliability scores, and generating a purification track evidence which is related to original frequency spectrum characteristics and noise reduction parameters; The multi-state verification contract module is used for verifying the quantum enhancement metadata package and the purification track evidence from the dynamic purification module in stages, wherein the quantum enhancement metadata package and the purification track evidence are compared with the equipment physical characteristics in the equipment composite fingerprint and the blockchain registration record generated by the quantum enhancement packaging module, whether the running state of equipment accords with the physical rule constraint is verified, the hash value of the reconstruction environment is matched with the purification track evidence, and a multi-state verification certificate containing a dynamic confidence coefficient is generated and transmitted to the double-chain storage engine; when the verification confidence coefficient output by the polymorphic verification contract module is higher than a threshold value, the environment service data are separated and written into a main chain block, the quantum enhancement metadata packet, the purification track evidence and the polymorphic verification evidence are subjected to compression algorithm to generate a light evidence fingerprint, the evidence fingerprint and the main chain block hash value are stored in an auxiliary chain separated from a main chain framework after being crossed and interlocked, and a space-time anchor point record is generated; The three-channel integral module triggers intelligent contract calculation of initial ecological credit integral and marks the state to be rechecked when the double-chain storage engine writes main chain service data; the simulation channel calls the enterprise credit rating engine to output enterprise credit scores, and when the initial ecological score falls into a core domain of the confidence interval and the enterprise credit scores are higher than a threshold value, the trusted state is promoted to generate final value scores and the final value scores are written into the user account; The entropy subtracting feedback center monitors the multi-state verification contract module to output a low confidence event, a three-channel integral module integral out-of-limit event, a quantum enhancement packaging module entropy source abnormal fluctuation event and an enterprise credit low scoring event, and drives the reinforcement learning strategy optimizer to generate equipment layer, verification layer and integral layer updating instructions, and the instructions update equipment verification rule base in the multi-state verification contract module and close abnormal equipment data channels after block chain consensus. And the enterprise credit rating engine module is used for generating enterprise credit scores and inputting the enterprise credit scores to the enterprise channels of the three-channel integrating module based on the output of the purification data set and the main chain business data of the double-chain storage engine by the dynamic purification module.
2. The blockchain-based ecological credit traceability system of claim 1, wherein the physical anchor registration module is configured to: fusing the fingerprint of the equipment chip, the GPS elevation coordinate and the environment type code to generate an irreversible equipment characteristic vector; Inputting the irreversible equipment characteristic vector into a cryptographic algorithm encryption engine to output an encrypted data block; And calling a zero knowledge proof protocol to perform equipment identity validity proof on the encrypted data block, generating a registration request packet carrying anonymous credentials and submitting the registration request packet as an encrypted registration packet to a blockchain node.
3. The blockchain-based ecological credit traceability system of claim 2, wherein the quantum enhancement packaging module is configured to: the method is characterized in that three paths of driving parallel execution is performed by quantum random source entropy flow: real-time input of environmental data into high-dimensional space-time generating a 128-bit hash value by the hash function; The running state parameters of the equipment generate dynamic abstracts through a chaotic encryption engine; generating an optical fingerprint by the quantum random source photon polarization sequence through a feature extractor; Converging the hash value, the dynamic abstract and the optical fingerprint to form a device composite fingerprint; And combining the device composite fingerprint and the acquisition time anchor point into a quantum enhancement metadata packet, executing a double-round elliptic curve digital signature algorithm on the quantum enhancement metadata packet through a device hardware key, outputting the signed quantum enhancement metadata packet, and inputting the signed quantum enhancement metadata packet to a dynamic purification module.
4. The blockchain-based ecological credit traceability system of claim 3, wherein the dynamic purification module is configured to: Identifying an environmental data type in the signed quantum enhancement metadata package: when the atmosphere monitoring data are identified, driving the Kalman filtering container to execute instantaneous pulse interference elimination on the analyzed environmental data stream; when the industrial emission data is identified, driving the wavelet noise reduction container to execute periodic feature preservation processing on the parsed environmental data stream; the algorithm container performs a purge operation on the environmental data stream, outputting a purge data set; calculating a confidence score for the purge data set and attaching the confidence score to the purge data set, wherein the confidence score is in the range of 0.0-1.0; and synchronously generating a purifying track evidence which is related to the original frequency spectrum characteristics and the noise reduction parameters.
5. The blockchain-based ecological credit traceability system of claim 4, wherein the polymorphic verification contract module verifies quantum enhancement metadata packages and purification track proofs from the dynamic purification module in stages, including stage one, stage two and stage three; analyzing a device composite fingerprint from a quantum enhancement metadata packet, converting the device composite fingerprint into a verification matrix format, calling a device registration contract to compare physical characteristics of the verification matrix and a blockchain registration record device, and outputting a device reliability coefficient C1; decrypting the running state value of the equipment from the quantum enhancement metadata packet, and driving a physical rule engine to calculate a state variation compliance coefficient C2; Based on the hash value of the environmental data in the quantum enhancement metadata package and the purifying track evidence, the reconstruction hash computing environment is subjected to consistency matching, and a process consistency coefficient C3 is output; Dynamic aggregation dynamic confidence coefficient, namely calculating the dynamic confidence coefficient according to C=0.4C1+0.3C2+0.3C3; And generating a polymorphic verification certificate carrying the dynamic confidence coefficient C and transmitting the polymorphic verification certificate to the double-chain storage engine.
6. The blockchain-based ecological credit traceability system of claim 5, wherein the emulation tunnel is configured to: extracting light evidence fingerprints from auxiliary chain space-time anchor records; Invoking a similar equipment history behavior feature library of which the main chain block is associated with the similar equipment of nearly 6 months based on the light evidence fingerprint; constructing an environmental parameter probability distribution model by using a historical behavior feature library; Randomly generating fifty thousand groups of simulation input parameters according to the probability distribution model; Performing Monte Carlo calculations on each set of analog input parameters, outputting corresponding credit score analog values; aggregating all the simulation values to generate a confidence interval [ Vmin, vmax ]; and detecting the transmission of an initial ecological credit integral value V1 by a real-time channel, namely when the V1 falls into the confidence interval core domain, activating a three-channel integral module weight strengthening algorithm to generate a final value integral and writing the final value integral into a user account.
7. The blockchain-based ecological credit traceability system of claim 6, wherein the entropy subtracting feedback hub is configured to: Receiving a multi-state verification contract module stage three verification failure event, and extracting an environment hash matching failure reason code; analyzing the reason code to drive a reinforcement learning strategy optimizer, and adjusting a physical rule engine judgment threshold; acquiring an initial ecological credit integral value V1 of a real-time channel of the three-channel integral module and calculating a Monte Carlo simulation average integral value Vavg by a simulation channel; Calculating an integral deviation rate delta= |V1-Vavg|/Vavg; when the delta exceeds a set threshold, driving the reinforcement learning strategy optimizer to update the probability model weight parameters; Receiving entropy source polarization fluctuation records when the quantum enhancement packaging module is optically fingerprinted, and identifying polarization variance exceeding 3 sigma standard deviation equipment; generating a device layer locking instruction to freeze abnormal devices to register certificate updating authorities in a physical anchoring registration module; And receiving the enterprise credit low scoring event, and driving the reinforcement learning strategy optimizer to generate an enterprise credit rating engine weight updating instruction.
8. The blockchain-based ecological credit traceability system of claim 7, further comprising: The physical anchoring registration module writes the physical characteristics of the blockchain device as a device composite fingerprint hardware trust source; The dynamic purification module synchronously generates a purification track evidence, inputs the purification track evidence into a phase three verification process and drives the reconstruction environment hash value to match; The double-chain storage engine generates a light evidence fingerprint, is called by a three-channel integral module simulation channel, and loads a main chain block historical behavior feature library to construct a Monte Carlo probability model; The quantum enhancement packaging module is used for synchronously inputting an optical fingerprint entropy source abnormal event, a polymorphic verification contract module low confidence event, a three-way integration module integration out-of-limit event and an enterprise credit low scoring event to the entropy reduction feedback center, and triggering a cross-module collaborative optimization instruction.
9. The blockchain-based ecological credit traceability system of claim 8, further comprising: the entropy subtracting feedback center receives an integration out-of-limit event of the three-channel integration module and drives the reinforcement learning strategy optimizer to generate a Monte Carlo probability model recalibration instruction; Receiving a low confidence event transmitted by the polymorphic verification contract module, and analyzing an abnormal equipment identifier, wherein the physical rule engine judgment threshold is adjusted by driving the reinforcement learning strategy optimizer; Generating an equipment authority updating instruction, and freezing abnormal equipment to receive authority in the dynamic purification module data, wherein the recalibration instruction and the equipment authority updating instruction are synchronously executed after being commonly recognized by the block chain; receiving a low confidence event output by the enterprise credit rating engine, and driving the reinforcement learning strategy optimizer to update the enterprise credit rating weight parameter; Further comprises: When the polymorphic verification contract module performs first verification in the first execution stage, the quantum enhancement packaging module is synchronously called to generate optical fingerprints and the physical characteristics of the equipment written by the physical anchoring registration module for cross comparison, so as to generate a hardware and quantum consistency coefficient; After the entropy subtracting feedback central output equipment layer updating instruction is subjected to blockchain consensus, the method comprises the steps of injecting a polymorphic verification contract module to reset a physical rule engine judgment threshold; resetting a judgment threshold value and a reconstruction probability model to act on a subsequent environmental data verification process, and establishing a cross-verification stage and integration module data authenticity dynamic calibration closed loop; the enterprise credit rating engine module is configured to: Based on the dynamic purification module, outputting a purification data set and main chain service data of the double-chain storage engine, and extracting environment compliance coefficients, enterprise financial indexes and operation characteristics; constructing five-dimensional evaluation indexes including ecological value, growth capacity, innovation capacity, honest management and competitive strength by adopting an AHP analytic hierarchy process, wherein the ecological value dimension is embedded into a polymorphic verification contract module to output a dynamic confidence coefficient C; calculating enterprise credit scores according to the five-dimension index weights; Triggering the entropy subtracting feedback center to generate a device layer locking instruction when the credit score of the enterprise is lower than a set threshold value; The device layer locking instruction freezes abnormal devices to register certificate updating authorities in a physical anchoring registration module; The enterprise credit score is input to the three-channel integral module enterprise channel; And the scoring result is written into the main chain block through the double-chain storage engine, and is subjected to cross interlocking operation with the lightweight evidence fingerprint to generate a credit space-time anchor record which is stored in the auxiliary.
10. The blockchain-based ecological credit traceability system of any of claims 1-9, wherein the enterprise credit rating engine module is further configured to: Constructing an evaluation index system with five dimensions including enterprise scale, enterprise operation, enterprise strength, credit rating and ecological value; Constructing a pairwise comparison matrix based on the evaluation index system, and calculating absolute weights of five dimensions by adopting a analytic hierarchy process; Based on the evaluation index system, extracting environment compliance coefficients, enterprise financial indexes and operation characteristics from a purification data set output by a dynamic purification module and main chain service data of a double-chain storage engine, wherein the ecological value dimension is embedded into a dynamic confidence coefficient C output by a polymorphic verification contract module; Using the absolute weight to carry out weighted calculation on the extracted environment compliance coefficient, the enterprise financial index and the operation characteristic to generate an enterprise credit score; Inputting the enterprise credit score into an enterprise channel of the three-channel integration module; and when the enterprise credit score is lower than the set threshold, the enterprise credit rating engine module sends a signal to the entropy subtracting feedback center to trigger generation of the equipment layer locking instruction.

Description

Ecological credit traceability system based on block chain Technical Field The invention relates to the technical field of data processing, in particular to an ecological credit traceability system based on a blockchain. Background The ecological credit system based on the blockchain records environmental contribution behaviors by using a distributed account book technology, the transparency of the ecological credit system enables all participants to access and audit transaction histories in real time, a decentralization framework avoids single entity monopoly data control, reduces the risk of credit record manipulation, guarantees that data cannot be modified once being upsized, maintains the authenticity of ecological credit information, and realizes an efficient incentive mechanism by automatically executing rules of intelligent contracts, such as quantifying carbon emission reduction and immediately issuing corresponding credit points, thereby improving the credibility and the universality of environmental participation and finally promoting the development of global sustainable ecological practice. In an ecological credit system based on a blockchain, a distributed account book guarantees the non-tamper property of a transaction record, but acquisition and verification of source data in a tracing process depend on external input equipment or a manual reporting mechanism, and an automatic verification mechanism on the chain is lacked, so that the true and false risk of initial data exists, the end-to-end credibility tracing cannot be guaranteed, and the data integrity of the whole system is affected. For example, in an enterprise environment contribution behavior tracking scenario, a factory measures and reports carbon emission reduction to a blockchain network by itself, and an intelligent contract directly and automatically issues credit points according to uploaded data, but if original sensor data is tampered or reported to have errors, error information is permanently solidified in the on-chain records, so that false emission reduction behaviors in a tracing path are not recognized, and finally, ecological credit assessment results are distorted, and system fairness is destroyed. Disclosure of Invention Aiming at the defects of the prior art, the invention provides an ecological credit tracing system based on a blockchain, which solves the problem that the authenticity of data input under an ecological credit tracing process chain cannot be automatically verified, so that end-to-end credibility is traced back and is invalid. In order to solve the technical problems, the technical contents of the invention are as follows: the invention provides an ecological credit traceability system based on a block chain, which comprises the following components: The system comprises a physical anchoring registration module, a block chain link point verification key uniqueness, a non-changeable account book, a data acquisition authority activating module and a data acquisition authority activating module, wherein the physical anchoring registration module is used for responding to a registration request of an accessed environment acquisition device, extracting a hardware-level key fingerprint of the device, generating an encrypted registration packet by combining a device geographic coordinate and an environment type identifier, and anonymously submitting a block chain through zero knowledge proof; The quantum enhancement packaging module triggers the quantum random source to generate a true random entropy source when the registered equipment collects environmental parameters, the entropy source is utilized to drive and generate equipment composite fingerprints comprising environmental data hash values, equipment running state abstracts and quantum signatures, the equipment composite fingerprints and the collection time anchor points form quantum enhancement metadata packets, and the quantum enhancement metadata packets are input to the dynamic purification module through equipment key signatures; The dynamic purification module is used for identifying the type of environmental data in the received quantum enhancement metadata packet, loading an adaptive algorithm container to execute data purification processing, outputting a purification data set with reliability scores, and generating a purification track evidence which is related to original frequency spectrum characteristics and noise reduction parameters; The multi-state verification contract module is used for verifying the quantum enhancement metadata package and the purification track evidence from the dynamic purification module in stages, wherein the quantum enhancement metadata package and the purification track evidence are compared with the equipment physical characteristics in the equipment composite fingerprint and the blockchain registration record generated by the quantum enhancement packaging module, whether the running state of equipment accor