Fertilizer traceability system based on block chain and big data fusion

Abstract

The invention discloses a fertilizer traceability system based on block chain and big data fusion. The system comprises a data acquisition module, a block chain processing module, a big data storage and analysis module, a traceability query module and an early warning module. The data acquisition module is used for acquiring core data information of each stage of fertilizer from generation to sales, and the core data information of each stage comprises production link data, quality inspection link data, logistics transportation data, storage environment data and sales data. Before the data is linked, the dynamic verification module automatically verifies the identity authority and the data format compliance of a data submitting party to ensure that a data source is legal and meets a preset standard, and the credibility of core data is ensured and malicious tampering is prevented by utilizing the characteristics of non-tampering and decentralization of the block chain; and by arranging the early warning module, the problem response speed is increased, manual intervention is reduced, and compliance of all links of the supply chain is guaranteed.

Description

Technical Field

[0001] This application relates to the technical field of fertilizer traceability systems, specifically to a fertilizer traceability system integrating blockchain and big data. Background Art

[0002] In the prior art, when it is necessary to trace fertilizers under certain circumstances (such as when relevant departments need to inspect fertilizers, when there are quality problems with fertilizers and traceability inspections are required, etc.), fertilizers are mostly traced based on batch information of fertilizers, logistics information of fertilizers, and sales data of fertilizers. However, this tracing method has the following problems: the above data information is easily modified artificially and has low credibility; different information is distributed in different systems, and it is difficult to retrieve and view fertilizer information at one time.

[0003] Therefore, this application proposes a fertilizer traceability system integrating blockchain and big data. Summary of the Invention

[0004] Therefore, this application provides a fertilizer traceability system integrating blockchain and big data to solve the problems of low data credibility and difficulty in tracing all data at one time existing in the prior art.

[0005] To achieve the above object, this application provides the following technical solutions:

[0006] In a first aspect, a fertilizer traceability system integrating blockchain and big data includes a data collection module, a blockchain processing module, a big data storage and analysis module, a traceability query module, and an early warning module;

[0007] The data collection module is used to collect core data information at each stage from fertilizer production to sales. The core data information at each stage includes production link data, quality inspection link data, logistics transportation data, warehousing environment data, and sales data;

[0008] The blockchain processing module is composed based on the consortium chain architecture. The consortium chain architecture includes a node network composed of fertilizer production enterprise nodes, quality inspection institution nodes, logistics company nodes, and regulatory department nodes. The node network is used to upload core data to the chain architecture and save it;

[0009] The big data storage and analysis module adopts a distributed storage architecture and is used to store unstructured data. The unstructured data includes original quality inspection records and transportation monitoring videos;

[0010] The traceability query module is an interactive interface for consumers and regulatory departments. By setting a unique identification code on the fertilizer package, the full-link information can be obtained by scanning the unique identification code;

[0011] The warning module is used to monitor abnormal data. When abnormal data is detected, the warning module can trigger a warning and judge the node where the warning data is located. After the judgment is completed, the warning information is sent to that node.

[0012] Preferably, the data acquisition module further includes an Internet of Things sensor network, which is used to collect production equipment parameters, warehousing environment data, and GPS positioning information of transportation vehicles in real time and upload them to the blockchain processing module through an encrypted transmission protocol.

[0013] Preferably, the production process data includes raw material supplier information, production batch number, production time, production equipment parameters, and process parameters;

[0014] The quality inspection process data includes physical and chemical indicators, microbial indicators, and heavy metal content test results of the sampled samples;

[0015] The logistics transportation data includes transportation routes, temperature and humidity monitoring data, and transportation vehicle information;

[0016] The warehousing environment data includes warehouse temperature and humidity, ventilation conditions, and inventory cycle;

[0017] The sales data includes distributor information, sales regions, and consumer feedback data.

[0018] Preferably, the core data includes production batch number, quality inspection report, key node data of the logistics path, and warehousing environment data; it also includes a dynamic verification module, which dynamically verifies the upload of the core data to confirm the legality of the source of the core data.

[0019] Preferably, the big data storage and analysis module includes a data cleaning unit, a data classification unit, a data analysis unit, and a storage unit. The redundant data is removed through the data cleaning unit, and the cleaned data is classified and stored in the storage unit through the data classification unit. The data analysis unit can establish a discrete model of fertilizer quality based on the information stored in the storage unit and judge the quality of the fertilizer according to the discrete model of the fertilizer.

[0020] Preferably, the query results output by the traceability query module include the values of the core data and the detailed process data in the big data storage and analysis module, and the traceability query module includes a visualization unit, which can display the production flow chart, the logistics path map, and the quality inspection report.

[0021] Preferably, threshold information is set in the warning module, and the threshold information includes production temperature threshold, transportation temperature threshold, warehousing temperature threshold, production humidity threshold, transportation humidity threshold, and warehousing humidity threshold.

[0022] Compared with the prior art, the present application has at least the following beneficial effects:

[0023] 1. Before the data is uploaded to the blockchain, the dynamic verification module automatically verifies the identity permissions of the data submitter (such as the manufacturer and logistics party) and the compliance of the data format, ensuring that the data source is legal and meets the preset standards. By utilizing the immutability and decentralization characteristics of the blockchain, the credibility of the core data is guaranteed, and malicious tampering is prevented;

[0024] 2. By setting up a warning module, the problem response speed is improved, manual intervention is reduced, and the compliance of each link in the supply chain is guaranteed;

[0025] 3. By setting up a big data storage and analysis module, the data processing efficiency is improved through big data technology, complex queries and analysis are supported, and the storage pressure on the blockchain is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] To more intuitively illustrate the prior art and the present application, exemplary drawings are given below. It should be understood that the specific shapes and structures shown in the drawings generally should not be regarded as limiting conditions when implementing the present application; for example, those skilled in the art are capable of making routine adjustments or further optimizations to the addition / deletion / attribution division of certain units (components), specific shapes, positional relationships, connection methods, dimensional proportional relationships, etc. based on the technical concept disclosed in the present application and the exemplary drawings.

[0027] Figure 1 It is a module diagram of a fertilizer traceability system integrating blockchain and big data provided in Embodiment 1 of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The following further details the present application through specific embodiments in conjunction with the drawings.

[0029] As Figure 1 shown, a fertilizer traceability system integrating blockchain and big data includes a data acquisition module, a blockchain processing module, a big data storage and analysis module, a traceability query module, and a warning module;

[0030] The data acquisition module is used to collect the core data information of each stage of the fertilizer from production to sales. The core data information of each stage includes production link data, quality inspection link data, logistics transportation data, warehousing environment data, and sales data. By collecting multi-dimensional data, the comprehensiveness and authenticity of the traceability information are ensured, providing a basis for subsequent data integration;

[0031] The blockchain processing module is composed based on the consortium blockchain architecture. The consortium blockchain architecture includes fertilizer production enterprise nodes, quality inspection agency nodes, logistics company nodes, and regulatory department nodes to form a node network. The node network is used to upload core data to the blockchain architecture and save it. By leveraging the characteristics of the blockchain, namely immutability and decentralization, the credibility of the core data is guaranteed, preventing the data from being maliciously tampered with;

[0032] The big data storage and analysis module adopts a distributed storage architecture and is used to store unstructured data. The unstructured data includes original quality inspection records and transportation monitoring videos;

[0033] The traceability query module is an interactive interface for consumers and regulatory departments. By setting a unique identification code on the fertilizer package, the full-link information can be obtained by scanning the unique identification code, enhancing information transparency, helping users quickly obtain credible traceability information, and assisting users in making decisions;

[0034] The warning module is used to monitor abnormal data. When abnormal data is detected, the warning module can trigger a warning and judge the node where the warning data is located. After the judgment is completed, the warning information is sent to that node. The use of the warning module realizes an automated liability traceability and compensation mechanism, further expanding the scope of use of this system.

[0035] The data acquisition module also includes an Internet of Things sensor network. The Internet of Things sensor network is used to collect production equipment parameters, warehouse environment data, and GPS positioning information of transportation vehicles in real time and upload them to the blockchain processing module through an encrypted transmission protocol, ensuring the real-time and security of data acquisition.

[0036] The production link data includes raw material supplier information, production batch number, production time, production equipment parameters, and process parameters;

[0037] The quality inspection link data includes physical and chemical indexes, microbial indexes, and heavy metal content detection results of the sampled samples;

[0038] The logistics transportation data includes transportation routes, temperature and humidity monitoring data, and transportation vehicle information. By collecting the above information in the logistics transportation, the logistics transportation data can be obtained more comprehensively, and then when tracing the fertilizer, the full-process information of the logistics can be mastered;

[0039] The warehouse environment data includes warehouse temperature and humidity, ventilation conditions, and inventory cycle to ensure that the fertilizer can be stored under suitable conditions during storage and the warehouse information can be retrieved and viewed when there is a problem with the fertilizer;

[0040] The sales data includes dealer information, sales regions, and consumer feedback data. By using the consumer feedback data, the production of fertilizers can be guided.

[0041] The core data includes production batch numbers, quality inspection reports, key node data of the logistics path, and warehousing environment data; it also includes a dynamic verification module that dynamically verifies the upload of the core data to confirm the legality of the source of the core data. When the data is uploaded to the blockchain, the identity of the uploader can be verified through the dynamic verification module to ensure the authenticity of the data.

[0042] The big data storage and analysis module includes a data cleaning unit, a data classification unit, a data analysis unit, and a storage unit. The data cleaning unit eliminates redundant data, and the data classification unit classifies and stores the cleaned data in the storage unit. The data analysis unit can establish a discrete model of fertilizer quality based on the information stored in the storage unit and judge the quality of the fertilizer according to the discrete model of the fertilizer.

[0043] The data cleaning unit eliminates redundant data through data cleaning technology and classifies the consumer feedback data using the data classification unit; combines historical data to establish a fertilizer quality prediction model (a discrete model of fertilizer quality or other models), and generates a quality risk warning in real time; improves data processing efficiency through big data technology, supports complex queries and analysis, and reduces the storage pressure on the blockchain.

[0044] Through the discrete model of fertilizer quality, fertilizers produced within the same time period or fertilizers in the same warehousing environment within the same time period are predicted to better control the quality of fertilizers.

[0045] The query results output by the traceability query module include the values of the core data and the detailed process data in the big data storage and analysis module, and the traceability query module includes a visualization unit that can display the production flow chart, the logistics path map, and the quality inspection report.

[0046] By using the traceability query module, users can conveniently obtain the full-chain information of fertilizers from production - logistics - warehousing - sales at one time, so as to better master the information of fertilizers.

[0047] Threshold information is set in the warning module. The threshold information can include production temperature thresholds, transportation temperature thresholds, warehousing temperature thresholds, production humidity thresholds, transportation humidity thresholds, warehousing humidity thresholds, and can also include other threshold information preset by users.

[0048] The technical features of the above embodiments can be combined arbitrarily (as long as there is no contradiction in the combination of these technical features). For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described; these embodiments that are not explicitly written out should also be considered to be within the scope described in this specification.

Claims

1. A fertilizer traceability system integrating blockchain and big data, characterized in that: It includes data collection module, blockchain processing module, big data storage and analysis module, traceability query module and early warning module; The data collection module is used to collect core data information of each stage from fertilizer production to sales, and the core data information of each stage includes production link data, quality inspection link data, logistics and transportation data, storage environment data and sales data; The blockchain processing module is based on a consortium chain architecture, which includes a node network composed of fertilizer production enterprise nodes, quality inspection agency nodes, logistics company nodes and regulatory departments. The node network is used to upload core data to the chain architecture and save it; The big data storage and analysis module adopts a distributed storage architecture to store unstructured data, including original quality inspection records and transportation monitoring videos; The traceability query module is an interactive interface for consumers and regulatory authorities. By setting a unique identification code on the fertilizer packaging, the whole-link information can be queried and obtained by scanning the unique identification code; The early warning module is used to monitor abnormal data. When abnormal data is monitored, the early warning module can trigger an early warning and judge the node where the early warning data is located. After the judgment is completed, the early warning information is sent to the node.

2. According to claim 1, a fertilizer traceability system integrating blockchain and big data is characterized in that: The data acquisition module also includes an Internet of Things sensor network, which is used to collect production equipment parameters, storage environment data and GPS positioning information of transportation vehicles in real time, and upload them to the blockchain processing module through an encrypted transmission protocol.

3. The fertilizer traceability system integrating blockchain and big data according to claim 1 is characterized in that: The production process data includes raw material supplier information, production batch number, production time, production equipment parameters and process parameters; The quality inspection data include the physical and chemical indicators, microbiological indicators and heavy metal content test results of the sampled samples; The logistics transportation data includes transportation routes, temperature and humidity monitoring data, and transportation vehicle information; The storage environment data includes warehouse temperature and humidity, ventilation conditions and inventory cycle; The sales data includes dealer information, sales areas and consumer feedback data.

4. The fertilizer traceability system integrating blockchain and big data according to claim 1 is characterized in that: The core data includes production batch number, quality inspection report, key node data of logistics path and storage environment data; it also includes a dynamic verification module, which dynamically verifies the uploaded core data to confirm the legitimacy of the source of the core data.

5. The fertilizer traceability system integrating blockchain and big data according to claim 1 is characterized in that: The big data storage and analysis module includes a data cleaning unit, a data classification unit, a data analysis unit and a storage unit. The data cleaning unit removes redundant data, and the data classification unit classifies and stores the cleaned data in the storage unit. The data analysis unit can establish a discrete model of fertilizer quality based on the information stored in the storage unit, and judge the quality of the fertilizer based on the discrete model of the fertilizer.

6. The fertilizer traceability system integrating blockchain and big data according to claim 1 is characterized in that: The query results output by the traceability query module include the value of the core data and the detailed process data in the big data storage and analysis module, and the traceability query module includes a visualization unit that can display the production flow chart, logistics route map and quality inspection report.

7. The fertilizer traceability system integrating blockchain and big data according to claim 1 is characterized in that: The early warning module is provided with threshold information, and the threshold information includes a production temperature threshold, a transportation temperature threshold, a storage temperature threshold, a production humidity threshold, a transportation humidity threshold, and a storage humidity threshold.

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