An agricultural product whole industry chain traceability and quality safety intelligent supervision platform

Abstract

The application discloses a kind of agricultural products whole industry chain traceability and quality safety intelligent supervision platform, comprising: safety production management system: upgrade industry chain, build wisdom agriculture;Logistics management system;Whole-link trusted data acquisition system: the Internet of Things equipment of each key node in industry chain is deployed, ensure that data source is real, real-time;Block chain trusted storage and traceability system;Big data intelligent analysis system: access and fusion block chain storage data, enterprise report data and government regulatory data, utilize big data analysis, machine learning model, construct quality safety risk assessment and early warning model;Intelligent supervision early warning system;Multi-terminal collaborative application service system.The application is through whole-link trusted data acquisition system and block chain trusted storage and traceability system;Utilize the tamper-proof, traceable characteristics of block chain, fundamentally solve the problem that agricultural products traceability data is easy to fake, lack of public trust, establish the data basis that each party in industry chain mutually trusts.

Description

Technical Field

[0001] This invention relates to the field of agricultural product technology, specifically to an intelligent platform for traceability and quality and safety supervision of the entire agricultural product supply chain. Background Technology

[0002] With consumers paying increasing attention to the quality and safety of agricultural products, and the government continuously strengthening its requirements for food safety supervision, achieving full transparency and traceability of agricultural products "from field to table" has become an urgent need for the industry.

[0003] Currently, agricultural product traceability and supervision face the following major challenges: Information systems across the entire supply chain (production, processing, warehousing, logistics, and sales) are not interconnected; data standards vary, and data is often entered retrospectively, making it susceptible to tampering and lacking credibility. Traditional traceability systems often focus on a single or a few links, failing to create a complete and continuous traceability information flow. In case of problems, it is difficult to quickly pinpoint the responsible link and batch. Regulatory departments rely heavily on manual sampling and paper-based record checks, which are time-consuming and have limited coverage, hindering dynamic, accurate, and intelligent full-process risk warning and supervision. The lack of effective data sharing and trust mechanisms among producers, processors, logistics providers, distributors, and consumers is detrimental to creating a market environment where high-quality products command premium prices and fostering brand premiums. Therefore, there is an urgent need to design an intelligent agricultural product supply chain traceability and quality safety supervision platform to address these issues. Summary of the Invention

[0004] The purpose of this invention is to provide an intelligent platform for the traceability and quality and safety supervision of the entire agricultural product industry chain, so as to solve the above-mentioned shortcomings of the existing technology.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A smart platform for traceability and quality and safety supervision of the entire agricultural product supply chain includes: Safety Production Management System: Upgrading the industrial chain and building smart agriculture; Logistics Management System: A logistics management system is designed to make information in the circulation of agricultural products traceable. End-to-end trusted data acquisition system: IoT devices deployed at key nodes in the industry chain ensure the authenticity and real-time nature of the data source; Blockchain Trusted Evidence Storage and Traceability System: Based on the construction of a full-link trusted data collection system, the key data obtained by the collection layer is generated into hash values ​​and stored on the blockchain to form an immutable, timestamped electronic certificate. The blockchain certificates of each link are associated with the digital identity to build a complete and trustworthy digital traceability archive. Big Data Intelligent Analysis System: Integrates and merges blockchain-stored data, enterprise-reported data, and government regulatory data, and uses big data analysis and machine learning models to build a quality and safety risk assessment and early warning model; Intelligent supervision and early warning system: collects agricultural product quality and safety information, monitors, analyzes, identifies and warns, captures quality and safety hazard information, promptly discovers problems, conducts risk level assessments, and promptly implements early warnings and accountability measures; Multi-terminal collaborative application service system: including government regulatory end, enterprise production end, and public service end.

[0006] Preferably, the safety production management system provides basic agricultural product data for the agricultural product traceability system, including production records, transportation records, and other agricultural product information records; Production records include information on agricultural product types, arable land conditions, and the history of fertilizer and pesticide use. By uploading production information materials, the records are kept in a standardized manner to manage the history of agricultural production. Producers can automatically and accurately collect farm management data in batches, including sowing, watering, pesticide spraying and harvesting, ambient temperature and humidity, soil moisture and fertility, and light information.

[0007] Preferably, the logistics management system mainly includes agricultural product purchase records, processing records, transportation records, and auxiliary records; It provides accurate geographic location information for agricultural products and distributes and stores product documents, supplementing information such as transportation environment and delivery methods.

[0008] Preferably, the IoT devices deployed at key nodes in the industrial chain include one or more combinations of environmental sensors, image acquisition devices, RFID, and GPS. Automatically collect environmental data, operational data, image data, and location data of agricultural products; The data includes one or more of the following stages: production, processing, inspection, warehousing, transportation, and sales.

[0009] Preferably, the key data includes agricultural operation records, inspection reports, batch numbers, and handover vouchers; Electronic vouchers create a unique digital identity for each batch of agricultural products, forming a "one item, one code" or "one batch, one code" system.

[0010] Preferably, in the traceability system, consumers can log in to their internet terminals or mobile application accounts to query agricultural products and obtain specific access permissions to query and verify the traceability source code of agricultural products and the production and sales information of the purchased agricultural products. From production to distribution to sales, the authenticity of the purchased agricultural products can be verified, and it can be ensured that the purchased agricultural products are truly safe and can be consumed with confidence.

[0011] Preferably, blockchain includes decentralization, consensus trust, collective maintenance, and a reliable database.

[0012] Preferably, a quality and safety risk assessment and early warning model: Intelligent risk early warning: Real-time monitoring and tiered early warning of risks such as abnormal production environment, illegal use of inputs, and excessive temperature and humidity during transportation; Intelligent push of regulatory tasks: Based on the risk level, differentiated on-site inspection and sampling test tasks are automatically generated and pushed to the regulatory personnel's terminals to achieve precise supervision; Industry data analysis: Mining and analyzing macro data on output, quality, flow, and price to provide data support for government decision-making and industry planning.

[0013] Preferably, Government regulatory end: Provides agricultural and market regulatory departments at all levels with a panoramic regulatory view, risk map, task management, emergency command, and credit evaluation functions; On the production side: We provide standardized production management, input management, quality control management, and production-sales matching services for agricultural enterprises, cooperatives, and farmers, helping them improve their management level and product competitiveness; Public service side: Provides consumers with convenient QR code traceability access, including WeChat mini-programs and H5 pages, allowing them to view visualized information about the entire product chain, as well as make evaluations and complaints. Provides trusted data interface services to third-party institutions, empowering the industry service ecosystem.

[0014] Preferably, the intelligent supervision platform also includes a standard specification and security system, covering data encoding, interfaces, security standards, and a data encryption transmission and storage mechanism based on national cryptographic algorithms, to ensure the security, compliance, and interoperability of the entire system.

[0015] In the above technical solution, the present invention provides an intelligent supervision platform for the traceability and quality safety of agricultural products across the entire industry chain, which has the following beneficial effects: (1) By using the full-chain trusted data collection system and the blockchain trusted evidence storage and traceability system, the immutable and traceable characteristics of blockchain have fundamentally solved the problem of easy falsification and insufficient credibility of agricultural product traceability data, and established a data foundation of mutual trust among all parties in the industrial chain, thereby building a trusted traceability system.

[0016] (2) Through big data intelligent analysis system and intelligent supervision and early warning system, the traditional "human wave" style supervision is transformed into "smart targeted" supervision based on big data, which greatly improves supervision efficiency and problem detection capabilities, reduces supervision costs, and achieves intelligent and precise supervision.

[0017] (3) It provides digital management tools for agricultural production entities, promotes the standardization and refinement of the production process; and helps the development of new business formats such as brand building, supply chain finance, and agricultural e-commerce through trusted data flow, thereby enhancing the overall value of the industry and empowering the digital transformation of the industry.

[0018] (4) Through intelligent supervision and early warning system and multi-terminal collaborative application service system, consumers are provided with transparent and intuitive channels to know, and their legitimate rights and interests are protected. At the same time, through consumer feedback, a market-driven mechanism is formed to promote the formation of a social co-governance pattern and enhance consumer confidence and social co-governance. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0020] Figure 1 This is a schematic diagram illustrating an embodiment of an intelligent supervision platform for the traceability and quality safety of agricultural products across the entire industry chain, as provided by the present invention. Detailed Implementation

[0021] To enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0022] like Figure 1 As shown in the figure, the present invention provides an intelligent supervision platform for the traceability and quality safety of agricultural products across the entire industry chain, comprising: a safety production management system: upgrading the industry chain and building smart agriculture; a logistics management system: the logistics management system is designed to make information in the circulation of agricultural products traceable; a full-chain trusted data acquisition system: IoT devices deployed at key nodes of the industry chain to ensure the authenticity and real-time nature of the data source; a blockchain trusted evidence storage and traceability system: based on the construction of the full-chain trusted data acquisition system, key data obtained at the acquisition layer is generated into hash values ​​and stored on the blockchain to form tamper-proof, timestamped electronic certificates, and the blockchain certificates of each link are associated with the digital identity to construct a complete and trusted digital traceability archive; a big data intelligent analysis system: accessing and integrating blockchain evidence storage data, enterprise-reported data, and government regulatory data, and using big data analysis and machine learning models to construct a quality safety risk assessment and early warning model; an intelligent supervision and early warning system: collecting agricultural product quality and safety information, monitoring, analyzing, identifying, and issuing early warnings, capturing quality and safety hazards, promptly identifying problems, conducting risk level assessments, and promptly implementing early warnings and accountability measures; and a multi-terminal collaborative application service system: including government regulatory terminals, enterprise production terminals, and public service terminals.

[0023] As one embodiment of the present invention, it includes: a safety production management system: upgrading the industrial chain and building smart agriculture; the safety production management system provides basic data of agricultural products for the agricultural product traceability system, including production records, transportation records and other agricultural product information records; Production records include information on agricultural product types, arable land conditions, and the history of fertilizer and pesticide use. By uploading production information materials, the records are kept in a standardized manner to manage the history of agricultural production. Producers can automatically and accurately collect farm management data in batches, including sowing, watering, pesticide spraying and harvesting, ambient temperature and humidity, soil moisture and fertility, and light information.

[0024] In another embodiment of the present invention, a logistics management system is provided: the logistics management system is designed to make information in the circulation of agricultural products traceable; the logistics management system mainly includes agricultural product purchase records, processing records, transportation records and auxiliary records; By relying on the professional cold chain transportation technology and mature GPS positioning and tracking system of logistics companies, the quality of agricultural products can be ensured, accurate geographical location information of agricultural products can be provided, and product documents can be distributed and stored, supplementing information such as transportation environment and delivery method.

[0025] As another embodiment of the present invention, the end-to-end trusted data acquisition system includes IoT devices deployed at key nodes of the industrial chain to ensure the authenticity and real-time nature of the data source; the IoT devices deployed at key nodes of the industrial chain include environmental sensors, image acquisition devices, RFID, GPS, etc.; automatically collecting environmental data, operational data, image data and location data of agricultural products; the data includes production, processing, inspection, warehousing, transportation and sales links, etc.

[0026] As one embodiment of the present invention, the blockchain trusted evidence storage and traceability system is based on the construction of a full-link trusted data acquisition system. The key data obtained by the acquisition layer is generated into hash values ​​and stored on the blockchain to form an immutable, timestamped electronic certificate. The blockchain certificates of each link are associated with the digital identity to construct a complete and trusted digital traceability archive. The key data includes agricultural operation records, inspection reports, batch numbers, and handover certificates. The electronic certificate creates a unique digital identity for each batch of agricultural products, forming "one item, one code" or "one batch, one code".

[0027] It should be noted that a hash value is a fixed-length, unique, and irreversible digital fingerprint generated by calculating the hash value of raw data of any length (such as a test report, an image, or an operation record) using a hash algorithm (such as SHA-256). Even changing just one punctuation mark in the original data will completely change its hash value.

[0028] Preferably, in the traceability system, consumers can log in to their internet terminals or mobile application accounts to query agricultural products and obtain specific access permissions to query and verify the traceability source code of agricultural products and the production and sales information of the purchased agricultural products. From production to distribution to sales, the authenticity of the purchased agricultural products can be verified, and it can be ensured that the purchased agricultural products are truly safe and can be consumed with confidence.

[0029] Blockchain includes decentralization, consensus trust, collective maintenance, and reliable database.

[0030] Decentralization: Decentralization means that there is no central management body in the entire system. All nodes in this blockchain have equal rights and obligations, can perform accounting, and if a node crashes or needs maintenance, it will not affect the operation of the entire network, which can effectively avoid the drawbacks of centralized operation.

[0031] Consensus and Trust: The foundation of blockchain is open source, which is accessible to everyone. Anyone can query blockchain data and develop related applications through public interfaces. Therefore, nodes cannot deceive each other within a specified scope and no trust mechanism is needed. Consensus and trust between nodes can be achieved at a low cost.

[0032] Collective maintenance: Because the information, data and operating rules in its blockchain are highly transparent, the maintenance work in the system is completed by all nodes with maintenance functions. Anyone can participate in the maintenance, so the failure of one node will not cause the entire database to crash.

[0033] Reliable Database: Blockchain technology uses asymmetric encryption and hash algorithms, ensuring the authenticity and reliability of entered and transmitted data. Once entered, data can only be "corrected" through newly approved transactions. Furthermore, blockchain employs a design different from files and databases, drawing inspiration from real-world ledgers. The process of recording and correcting data leaves traces, making the entered data tamper-proof and non-repudiable.

[0034] In another embodiment of the present invention, the big data intelligent analysis system accesses and integrates blockchain-stored data, enterprise-reported data, and government regulatory data, and uses big data analysis and machine learning models to construct a quality and safety risk assessment and early warning model. In another embodiment of the present invention, the intelligent monitoring and early warning system collects agricultural product quality and safety information, monitors, analyzes, identifies, and issues early warnings; captures quality and safety hazard information; promptly identifies problems; conducts risk level assessments; and promptly implements early warnings and accountability measures. The quality and safety risk assessment and early warning model includes: Intelligent risk early warning: Real-time monitoring and tiered early warning of risks such as abnormal production environment, illegal use of inputs, and excessive temperature and humidity during transportation; Intelligent push of regulatory tasks: Based on the risk level, differentiated on-site inspection and sampling test tasks are automatically generated and pushed to the regulatory personnel's terminals to achieve precise supervision; Industry data analysis: Mining and analyzing macro data on output, quality, flow, and price to provide data support for government decision-making and industry planning.

[0035] As one embodiment of the present invention, the multi-terminal collaborative application service system includes a government regulatory terminal, an enterprise production terminal, and a public service terminal. The government regulatory terminal provides agricultural and market regulatory departments at all levels with a panoramic regulatory view, risk map, task management, emergency command, and credit evaluation functions. On the production side: We provide standardized production management, input management, quality control management, and production-sales matching services for agricultural enterprises, cooperatives, and farmers, helping them improve their management level and product competitiveness; Public service side: Provides consumers with convenient QR code traceability access, including WeChat mini-programs and H5 pages, allowing them to view visualized information about the entire product chain, as well as make evaluations and complaints. Provides trusted data interface services to third-party institutions, empowering the industry service ecosystem.

[0036] In another embodiment of the present invention, the intelligent supervision platform also includes a standard specification and security system, covering data encoding, interfaces, security standards, and a data encryption transmission and storage mechanism based on national cryptographic algorithms, to ensure the security, compliance, and interoperability of the entire system.

[0037] Taking a certain product's "premium vegetables" as an example, the application process of this intelligent monitoring platform is illustrated: In the production stage: At the planting base, information on seeds, fertilizers, pesticides, etc. (such as purchase contracts and brand suppliers) is registered together; IoT sensors automatically collect data on soil moisture, light, temperature, and images of agricultural operations such as irrigation, fertilization, and pesticide application. During the sowing, production, and harvesting stages of crops, IoT smart devices such as temperature and humidity sensors automatically detect and collect information on crop sowing time, growth status, environmental characteristics, pesticide usage, and harvest date in real time, completing agricultural product information documents. Simultaneously, crop growth information is fed back to farmers to allow for timely adjustments to crop growth conditions, facilitating farmer management, improving product quality, and data is uploaded in real time. At harvest, the system generates a unique traceability code for each batch and binds it to the plot and farmer information; key agricultural data hash values ​​are uploaded to the blockchain. Processing / Inspection Link: The processing factory scans the batch code for warehousing and records the information on the processing process (cleaning, sorting, packaging); during the processing stage, the agricultural products are disinfected, additives are used, and brand packaging is carried out. After the agricultural crops are harvested, the processing enterprise obtains the information document and maintenance permission of the agricultural products, and inputs information such as processing time, disinfection method, additive information, and third-party inspection certificate of compliance into the agricultural product quality traceability system and synchronizes it to the blockchain. And information such as production date, shelf life, and product batch is pasted on the product packaging. The third-party inspection agency conducts inspections on the products for agricultural residues, heavy metals, etc., and the generated authoritative inspection report is hashed and uploaded to the chain after digital signature; Warehousing and Logistics Link: Due to the characteristics of short shelf life and easy rot of agricultural products, the environmental quality requirements are relatively high, and special cold chain transportation technology of logistics enterprises is mostly used for their transportation and storage. Intelligent devices such as temperature and humidity, microorganism, and carbon dioxide detection sensors should be equipped during the transportation and storage process to record the conditions of the environment where the agricultural crops are located in real time, upload them to the blockchain system, and feedback them to the logistics enterprise. At the same time, during transportation, the global positioning system (GPS) should be used to track the path of the agricultural products and input the accurate geographical location information of the agricultural products into the system. In the logistics link, the logistics enterprise, as the responsible entity, manages and maintains the document information of the agricultural products, and supplements information such as warehousing and outbound time, container information, transportation time, warehouse location, and storage environment. The logistics track and carriage environment data are uploaded in real time and key nodes are uploaded to the chain to ensure full cold chain visibility; Sales Link: The supermarket or e-commerce platform scans for warehousing. When selling, consumers can view the "past and present" of this batch of vegetables on their mobile phones by scanning the QR code on the product packaging: all the information on the whole chain from the environment of the planting plot, fertilization and pesticide application records, inspection reports, to the temperature curve of warehousing and transportation, logistics path, etc. is stored on the blockchain, ensuring authenticity and credibility; Supervision and Early Warning: On the platform of the supervision department, the risk situation of all connected products in the region can be viewed in real time. If the system finds that the temperature of a certain batch of products is abnormal during transportation through model analysis, it will automatically send a yellow warning to the affiliated enterprise and the supervisor of the jurisdiction. The supervisor can, according to the prompt, focus on inspecting the arrival quality of this batch of products to achieve precise intervention. At the same time, all the enterprise behavior data uploaded to the chain can form a credit file, which can be used as a reference for policy support, evaluation for excellence, etc.

[0038] Through the above implementation, the platform of the present invention organically integrates the participants, processes, and data of the entire agricultural product industry chain, constructs a new industrial ecosystem driven by data, intelligently coordinated, and with transparent trust, effectively empowering the digital transformation and high-quality development of agriculture.

[0039] The foregoing has only described certain exemplary embodiments of the present invention by way of illustration. Undoubtedly, those skilled in the art can modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the foregoing drawings and descriptions are illustrative in nature and should not be construed as limiting the scope of protection of the claims of the present invention.

Claims

1. A smart platform for traceability and quality safety supervision of the entire agricultural product supply chain, characterized in that: include: Safety Production Management System: Upgrading the industrial chain and building smart agriculture; Logistics Management System: A logistics management system is designed to make information in the circulation of agricultural products traceable. End-to-end trusted data acquisition system: IoT devices deployed at key nodes in the industry chain ensure the authenticity and real-time nature of the data source; Blockchain Trusted Evidence Storage and Traceability System: Based on the construction of a full-link trusted data collection system, the key data obtained by the collection layer is generated into hash values ​​and stored on the blockchain to form an immutable, timestamped electronic certificate. The blockchain certificates of each link are associated with the digital identity to build a complete and trustworthy digital traceability archive. Big Data Intelligent Analysis System: Integrates and merges blockchain-stored data, enterprise-reported data, and government regulatory data, and uses big data analysis and machine learning models to build a quality and safety risk assessment and early warning model; Intelligent supervision and early warning system: collects agricultural product quality and safety information, monitors, analyzes, identifies and warns, captures quality and safety hazard information, promptly discovers problems, conducts risk level assessments, and promptly implements early warnings and accountability measures; Multi-terminal collaborative application service system: including government regulatory end, enterprise production end, and public service end.

2. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain as described in claim 1, characterized in that, The safety production management system provides basic data on agricultural products for the agricultural product traceability system, including production records, transportation records, and other agricultural product information records; Production records include information on agricultural product types, arable land conditions, and the history of fertilizer and pesticide use. By uploading production information materials, the records are kept in a standardized manner to manage the history of agricultural production. Producers can automatically and accurately collect farm management data in batches, including sowing, watering, pesticide spraying and harvesting, ambient temperature and humidity, soil moisture and fertility, and light information.

3. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, The logistics management system mainly includes agricultural product purchase records, processing records, transportation records, and auxiliary records; It provides accurate geographic location information for agricultural products and distributes and stores product documents, supplementing information such as transportation environment and delivery methods.

4. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain as described in claim 1, characterized in that, IoT devices deployed at key nodes in the industry chain include one or more combinations of environmental sensors, image acquisition devices, RFID, GPS, etc. Automatically collect environmental data, operational data, image data, and location data of agricultural products; The data includes one or more of the following stages: production, processing, inspection, warehousing, transportation, and sales.

5. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, Key data includes agricultural operation records, inspection reports, batch numbers, and handover documents; Electronic vouchers create a unique digital identity for each batch of agricultural products, forming a "one item, one code" or "one batch, one code" system.

6. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, In the traceability system, consumers can log in to their internet terminals or mobile application accounts to query agricultural products and obtain specific access permissions. They can query and verify the traceability source code of agricultural products and the production and sales information of the purchased agricultural products. From production to distribution to sales, consumers can verify the authenticity of the purchased agricultural products and ensure that the purchased agricultural products are truly safe and can be consumed with confidence.

7. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, Blockchain includes decentralization, consensus trust, collective maintenance, and reliable database.

8. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, Quality and safety risk assessment and early warning model: Intelligent risk early warning: Real-time monitoring and tiered early warning of risks such as abnormal production environment, illegal use of inputs, and excessive temperature and humidity during transportation; Intelligent push of regulatory tasks: Based on the risk level, differentiated on-site inspection and sampling test tasks are automatically generated and pushed to the regulatory personnel's terminals to achieve precise supervision; Industry data analysis: Mining and analyzing macro data on output, quality, flow, and price to provide data support for government decision-making and industry planning.

9. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, Government regulatory end: Provides agricultural and market regulatory departments at all levels with a panoramic regulatory view, risk map, task management, emergency command, and credit evaluation functions; On the production side: We provide standardized production management, input management, quality control management, and production-sales matching services for agricultural enterprises, cooperatives, and farmers, helping them improve their management level and product competitiveness; Public service side: Provides consumers with convenient QR code traceability access, including WeChat mini-programs and H5 pages, allowing them to view visualized information about the entire product chain, as well as make evaluations and complaints. Provides trusted data interface services to third-party institutions, empowering the industry service ecosystem.

10. The intelligent supervision platform for traceability and quality safety of agricultural products across the entire industry chain according to claim 1, characterized in that, The intelligent supervision platform also includes a standards and security system, covering data encoding, interfaces, security standards, and a data encryption transmission and storage mechanism based on national cryptographic algorithms, ensuring the security, compliance, and interoperability of the entire system.

Images