CN-121998427-A - Aquatic product processing safety control system based on block chain tracing

CN121998427ACN 121998427 ACN121998427 ACN 121998427ACN-121998427-A

Abstract

The invention discloses a blockchain tracing aquatic product processing safety management and control system, which relates to the technical field of network safety and data tracing and comprises a multi-source data acquisition module for acquiring processing all-link parameters and related information, encrypting and uploading and associating identifications, a data preprocessing and encrypting module for cleaning standardized data, encrypting sensitive information and generating unique identifications, a blockchain tracing core module for constructing a alliance chain to realize data uplink and non-falsifiable tracing, an intelligent safety management and control module for evaluating compliance in real time and linkage equipment disposal risk, a distributed data storage module for guaranteeing data reliability by adopting a mixed architecture, and a visual interaction and early warning module for presenting information and pushing early warning. The intelligent control system based on the block chain realizes the credible tracing of the full-chain data, intelligent control and accurate identification of disposal risks, ensures the cooperation and high efficiency of multiple bodies, ensures the data safety, adapts to the requirements of multiple scenes, improves the processing compliance and emergency response capability, and improves the safety control and upgrading of the power-assisted industry.

Inventors

ZHENG WEIDI
LIN WENXIN
ZHANG YING

Assignees

广东丰帆汇食品有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. Based on blockchain traceability aquatic products processing safety management and control system, characterized by comprising the following modules: The aquatic product processing multisource data acquisition module integrates a sensor array, a data acquisition terminal and a network communication interface, wherein the sensor array acquires key parameters in real time, the data acquisition terminal records operator information, equipment state, raw material batch numbers and supplier information, and the network communication interface uploads acquired data to a system platform in real time through an encryption transmission protocol; The data preprocessing and encrypting module is used for removing abnormal values, repeated data and invalid data by adopting a data cleaning algorithm, mapping different types of data to a unified format by standardized processing, encrypting the sensitive data to generate an encrypted data abstract, and calculating a data unique identifier by combining a hash algorithm; The block chain tracing core module is used for constructing a alliance chain architecture and comprises five nodes of a raw material supplier, a processing enterprise, a quality inspection mechanism, a logistics enterprise and a sales terminal, wherein each node participates in data uplink and consensus verification according to authority, a practical Bayesian fault-tolerant consensus mechanism is adopted to finish data authority confirmation and uplink storage, and the preprocessed encrypted data and hash identification are written into a block chain block; The intelligent safety control module is internally provided with a safety evaluation model based on machine learning, judges safety risks in real time by analyzing data on a blockchain, generates a control instruction by combining with a preset safety standard, and records and stores a control action log in a uplink manner; the distributed data storage module adopts a mixed storage architecture combining a block chain distributed account book and a relational database, the block chain storage core backups data, an encrypted abstract and an operation log, the relational database stores data, and a data indexing mechanism is established to improve the retrieval efficiency; The visual interaction and early warning module is used for configuring a multidimensional visual interface, visually presenting the whole flow of aquatic product processing, a tracing chain, safety risk distribution and equipment running state, presetting a multistage safety early warning threshold value, pushing early warning information when safety risk is detected, and providing a tracing report generating and exporting function.
2. The blockchain-based traceability aquatic product processing safety management and control system according to claim 1, further comprising a processing safety risk quantification evaluation unit, wherein the processing safety risk level is quantified by integrating multidimensional processing data and blockchain traceability information, and the calculation formula is as follows: Wherein the method comprises the steps of In order to quantify the value of the security risk, For the contribution coefficient of the process parameter deviation, In order to trace-back the integrity contribution coefficient, As a number of key process parameters, Is the first The weight of the individual parameter(s), Is the first The actual monitored values of the individual parameters are, Is the first The standard threshold value of the individual parameter(s), In order to trace the source time decay factor, For the duration of the processing time period, Is that Time of day trace data integrity coefficients.
3. The blockchain traceability-based aquatic product processing safety management and control system according to claim 1, further comprising a cross-node data collaborative verification unit, supporting cross-node data verification and consensus among different alliance chain nodes, establishing a node trust evaluation mechanism, quantifying a node trust value by verifying historical uplink data accuracy, response speed and compliance records of each node, only allowing nodes with trust values higher than a preset threshold to participate in data verification during cross-node data interaction, comparing homologous data of different nodes by adopting a cross-verification algorithm, and writing collaborative verification results into a blockchain.
4. The blockchain traceability-based aquatic product processing safety control system according to claim 1, further comprising an intelligent linkage unit of processing equipment, wherein the intelligent linkage unit is used for realizing automatic linkage execution of safety control instructions and the processing equipment, a control interface and an instruction format of common processing equipment are established, the control instructions generated by the intelligent safety control module are transmitted to corresponding equipment after protocol conversion, the execution results are fed back in real time after the equipment executes the instructions, and the system links the instruction content, the execution results and equipment state change records.
5. The blockchain traceability-based aquatic product processing safety management and control system according to claim 1, further comprising an abnormal behavior monitoring and tracing unit, wherein the abnormal behavior is identified by analyzing operation logs, data modification records and node interaction information on a blockchain, key features of the abnormal behavior are captured by adopting a behavior feature extraction algorithm, matching identification is performed by combining an abnormal behavior database, an abnormal behavior initiating node, an operator and time are positioned, an abnormal behavior analysis report is generated, and meanwhile, the abnormal information and a tracing result are pushed to an administrator.
6. The blockchain-based traceability aquatic product processing safety management and control system according to claim 1, further comprising a traceability data credibility verification unit, wherein authenticity and reliability of traceability data are ensured through multi-dimensional verification, and the calculation formula is as follows: Wherein the method comprises the steps of In order to trace the credibility of the source data, For data uplink node reliability weights, For the data consistency check weight, As a weight for the integrity of the data, The number of data stripes that are to be uplink to the trusted node, For the total number of ul data stripes, To check the number of passes across node consistency, For the total check times For the number of data items of the complete trace-back chain, And verifying the reliability of the traceable data from three aspects of node credibility, data consistency and integrity for the number of data items which the standard traceable chain should contain.
7. The blockchain traceable aquatic product processing safety management and control system according to claim 1, further comprising a hierarchical authority management unit, wherein multi-level operation authorities are set, authority groups are divided according to roles, different authority groups correspond to different data access ranges, operation authorities and uplink authorities, and authority allocation and operation behaviors are recorded in the whole process and stored in the uplink.
8. The blockchain traceable aquatic product processing safety management and control system according to claim 1, further comprising a processing flow dynamic optimization unit, wherein historical processing data, safety risk records and management and control effects on a blockchain are analyzed regularly, an internal correlation between processing parameters and product quality is found by adopting a correlation rule mining algorithm, an optimization space is identified, an industry standard and best practices are combined, a processing flow optimization suggestion is generated, and after the optimization suggestion is confirmed by an administrator, the processing standard is automatically updated and synchronized to the intelligent safety management and control module and processing equipment.
9. The blockchain-based traceable aquatic product processing safety management and control system according to claim 1, further comprising an emergency response linkage unit, wherein when a major safety risk or an emergency is detected, an emergency response flow is automatically started, a risk influence range is positioned based on blockchain traceable data, an emergency treatment scheme is generated, a linkage logistics system and a sales terminal system push treatment instructions, an emergency treatment progress is tracked in real time, and a treatment process, a result and a rectification measure are recorded and are linked.
10. The blockchain traceable aquatic product processing safety management and control system according to claim 1, further comprising a third party audit interface unit, wherein the third party audit interface unit is used for providing a standardized third party audit data interface, supporting a third party to access the system through the interface, inquiring information on a blockchain according to preset authorities, wherein the interface adopts an encryption transmission protocol, audit reports and verification results generated in an audit process are directly written into the blockchain block to serve as a product quality compliance proof, and meanwhile, the system records third party access behaviors and operation logs.

Description

Aquatic product processing safety control system based on block chain tracing Technical Field The invention relates to the technical field of network security and data tracing, in particular to a blockchain tracing-based aquatic product processing security management and control system. Background The safety control of the aquatic product processing industry directly relates to the health of consumers, the sustainable development of market order and industry, and the parameter monitoring and data tracing of full chains such as raw material acceptance, processing process, logistics distribution and the like are the cores for guaranteeing the safety of products. Along with the large-scale and industrialized development of aquatic product processing, the processing links are increasingly complex, the multi-link parameter regulation and control and the multi-main-body cooperative participation are involved, and a plurality of short plates are gradually exposed in the traditional safety control mode. The traditional management and control is dependent on manual recording and offline checking, key parameter records such as temperature, humidity and sterilization intensity in the processing process are easy to miss and tamper, the data authenticity is difficult to guarantee, and data of all links are stored in different main body systems in a scattered mode to form information islands, so that full-chain data through traceability cannot be achieved. The existing tracing system mostly adopts a centralized architecture, data are stored in a single server, risks of tampering and deleting exist, and reliability of a tracing chain is insufficient. Although a part of systems introduce a simple data encryption technology, a multi-node consensus verification mechanism is lacked, and internal misoperation or malicious tampering behavior is difficult to prevent. Meanwhile, the existing system relies on fixed threshold judgment for safety risk assessment in the machining process, and quantitative analysis cannot be carried out by integrating multidimensional data, so that the risk identification accuracy is low, and potential safety hazards cannot be prejudged in advance. The processing equipment and the management and control system lack of effective linkage, after the risk is found, the parameters of the equipment need to be manually inserted and adjusted, the response is lagged, and the quality problem of batch products is easily caused. In addition, the authority management mechanism of the existing system is imperfect, and the data access and operation authority division of different participating subjects are fuzzy, so that data leakage or illegal operation is easy to cause. The third party supervision department and the quality inspection organization are difficult to access the system conveniently to carry out audit work, lack standardized data interfaces and authoritative verification mechanisms, and have low supervision efficiency. The optimization of the processing flow is based on experience judgment, the association relation between the historical data mining parameters and the quality is not fully utilized, and the continuous improvement capability is insufficient. The emergency response link lacks a mechanism for rapidly positioning the risk range and carrying out linkage treatment, and is difficult to recall problem products and trace back the risk sources in the face of a safety event, and the problems seriously restrict the intellectualization, the precision and the traceability of the safety control of the aquatic product processing, so that the requirements of industry high-quality development and consumer safety cannot be met. Disclosure of Invention The invention provides a block chain traceability-based aquatic product processing safety control system, which aims to solve the problems in the prior art. In order to achieve the aim, the invention adopts the following technical scheme that the blockchain-based traceability aquatic product processing safety management and control system comprises the following modules: The aquatic product processing multisource data acquisition module integrates a sensor array, a data acquisition terminal and a network communication interface, wherein the sensor array acquires key parameters in real time, the data acquisition terminal records operator information, equipment state, raw material batch numbers and supplier information, and the network communication interface uploads acquired data to a system platform in real time through an encryption transmission protocol; The data preprocessing and encrypting module is used for removing abnormal values, repeated data and invalid data by adopting a data cleaning algorithm, mapping different types of data to a unified format by standardized processing, encrypting the sensitive data to generate an encrypted data abstract, and calculating a data unique identifier by combining a hash algorithm; The block chain tracing core modul