Intelligent data management system for potato transaction

Abstract

The invention relates to the technical field of potato transaction data management systems, in particular to an intelligent data management system for potato transaction. The technical problems that a traditional potato transaction intelligent data management system generally focuses on data collection and storage and basic query functions, analysis and decision support on a complex market are limited, personalized recommendation and customized services are lacked, and user experience is relatively simple are solved; according to the technical scheme, the potato transaction intelligent data management system comprises an intelligent analysis module; compared with a traditional potato transaction intelligent data management system, the potato transaction intelligent data management system has the advantages that analysis and decision support on a complex market are limited, and personalized recommendation and customized services are lacked; the user can be helped to better understand the market dynamic state and the supply-demand relation, and more accurate market strategies and operation plans can be made.

Description

Technical Field

[0001] The present invention relates to the technical field of potato transaction data management systems, and in particular to an intelligent potato transaction data management system. Background Art

[0002] The potato trading intelligent data management system is a comprehensive system that integrates data collection, processing, analysis, storage and display. It is designed specifically for the potato trading industry. The system uses modern information technology, such as big data, cloud computing, the Internet of Things, artificial intelligence, etc., to intelligently manage each link in the potato trading process to improve transaction efficiency, reduce transaction risks, optimize resource allocation, and enhance the digital level of the entire industry.

[0003] Traditional intelligent data management systems for potato trading generally focus on data collection, storage and basic query functions, with limited support for complex market analysis and decision-making, lack of personalized recommendations and customized services, and a relatively simple user experience.

[0004] In view of the problems that the existing intelligent potato trading data management system has limited analysis and decision-making support for complex markets and lacks personalized recommendations and customized services, this intelligent potato trading data management system can set up an intelligent analysis module to recommend suitable potato varieties and suppliers to buyers based on user behavior and data analysis, and provide planting risk assessment and market forecasts for growers. It can help users better understand market dynamics and supply and demand relationships, and formulate more accurate market strategies and business plans. Summary of the invention

[0005] In order to overcome the problems of traditional potato trading intelligent data management systems, which generally focus on data collection, storage and basic query functions, have limited support for complex market analysis and decision-making, lack personalized recommendations and customized services, and have relatively simple user experience.

[0006] The technical solution of the present invention is: an intelligent potato trading data management system, comprising:

[0007] Data collection module: used to collect potato planting information in real time;

[0008] Data transmission module: used to transmit the potato planting information collected by the data acquisition module;

[0009] Data preprocessing module: used to preprocess the data information transmitted by the data transmission module;

[0010] Intelligent analysis module: used to predict and analyze market trends;

[0011] Transaction management module: used to provide online education platform;

[0012] Logistics tracking and monitoring module: used to monitor potato transportation logistics in real time;

[0013] Quality traceability and certification module: used to mark each batch of potatoes;

[0014] User service and feedback module: used to provide user interaction interface.

[0015] Preferably, the data collection module includes multiple types of sensors and tag collectors, which are responsible for collecting multi-dimensional data such as potato planting information, market prices, transaction data, logistics information and consumer feedback, and providing data support for the intelligent data management system for potato transactions.

[0016] Preferably, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

[0017] Preferably, the data preprocessing module uses a distributed database, data warehouse and big data processing framework to store and back up data, cleans, integrates and stores the collected data, and uses big data processing technology to perform preliminary analysis to provide a basis for subsequent analysis.

[0018] As a preferred option, the intelligent analysis module can predict future price trends based on historical data, and can also evaluate the impact of weather, pests and diseases and other factors on production, adjust inventory strategies according to sales forecasts, and reduce waste. The intelligent analysis module uses AI algorithms such as machine learning and deep learning to predict market trends, analyze supply and demand, evaluate planting risks, optimize inventory management and provide personalized recommendations.

[0019] Preferably, the intelligent analysis module comprises the following steps when operating:

[0020] S11: The intelligent analysis module first obtains the cleaned and integrated potato-related data from the data and processing module, and ensures the accuracy and completeness of the data used for analysis;

[0021] S12: Use AI algorithms such as machine learning and deep learning to build corresponding data analysis models according to business needs. Through model analysis, deeply explore the laws and trends behind the data to improve the accuracy and depth of analysis;

[0022] S13: Use historical data to train and verify the constructed data analysis model, continuously adjust model parameters, and optimize model performance;

[0023] S14: Input the real-time collected data into the trained model for real-time analysis and prediction;

[0024] S15: Output the analysis results to the user in the form of charts, reports, etc.

[0025] Preferably, through real-time and accurate data analysis, it helps users quickly understand market trends and planting risks. Through functions such as market forecasting and personalized recommendations, it helps users seize market opportunities, optimize product structure and sales strategies, and enhance market competitiveness. It can provide timely and accurate analysis results and recommend appropriate decisions for users.

[0026] As a preferred option, the transaction management module can automatically match the two parties to the transaction based on the buyer's demand and the seller's supply, establish a credit system for the two parties to the transaction, and ensure the security of the transaction. The transaction management module is used to provide an online transaction platform, support order management, payment settlement, contract signing and other functions, simplify the transaction process, and improve transaction efficiency.

[0027] As a preferred option, the logistics tracking and monitoring module integrates GPS positioning, Internet of Things sensors, and combines with the GIS geographic information system to achieve full-process visual tracking. The logistics tracking and monitoring module is used to monitor key indicators such as location, temperature, and humidity during potato transportation in real time to ensure the safe delivery of goods.

[0028] Preferably, the quality traceability and certification module is used to establish a unique traceability code for each batch of potatoes, recording the entire process information from planting to sales, facilitating quality traceability and certification. Through the quality traceability and certification module, consumers can query product information by scanning the traceability code, thereby enhancing consumer trust.

[0029] Preferably, a unique traceability code can be established for each batch of potatoes through the quality traceability and certification module, and the entire process information from planting, growth, picking, processing, packaging to sales can be recorded. Consumers can easily obtain detailed information and historical records of the product by scanning the traceability code, thereby increasing their understanding and trust in the product.

[0030] Preferably, the user service and feedback module is used to provide functions such as user registration, login, personal information management, customer service support and user feedback collection, to enhance the user experience and provide customized market analysis reports or planting suggestions for different users.

[0031] Beneficial effects of the present invention:

[0032] 1. Compared with the traditional potato trading intelligent data management system, which generally focuses on data collection, storage and basic query functions, has limited support for complex market analysis and decision-making, lacks personalized recommendations and customized services, and has a relatively simple user experience, this potato trading intelligent data management system can recommend suitable potato varieties and suppliers to buyers based on user behavior and data analysis, and provide planting risk assessment and market forecasts for growers by setting up intelligent analysis modules, which can help users better understand market dynamics and supply and demand relationships, and formulate more accurate market strategies and business plans;

[0033] 2. Through real-time and accurate data analysis, it helps users quickly understand market trends and planting risks. Through market forecasts and personalized recommendations, it helps users seize market opportunities, optimize product structure and sales strategies, and enhance market competitiveness. It can provide timely and accurate analysis results and suggest appropriate decisions for users.

[0034] 3. The quality traceability and certification module can establish a unique traceability code for each batch of potatoes and record the entire process from planting, growth, picking, processing, packaging to sales. Consumers can easily obtain detailed information and historical records of the product by scanning the traceability code, thereby increasing their understanding and trust in the product. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 Shown is a schematic diagram of the workflow of an intelligent analysis module of an intelligent potato trading data management system of the present invention. DETAILED DESCRIPTION

[0036] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0037] See also Figure 1 The present invention provides an embodiment: an intelligent potato trading data management system, comprising:

[0038] Data collection module: used to collect potato planting information in real time;

[0039] Data transmission module: used to transmit the potato planting information collected by the data acquisition module;

[0040] Data preprocessing module: used to preprocess the data information transmitted by the data transmission module;

[0041] Intelligent analysis module: used to predict and analyze market trends;

[0042] Transaction management module: used to provide online education platform;

[0043] Logistics tracking and monitoring module: used to monitor potato transportation logistics in real time;

[0044] Quality traceability and certification module: used to mark each batch of potatoes;

[0045] User service and feedback module: used to provide user interaction interface.

[0046] Preferably, the data collection module includes multiple types of sensors and tag collectors, which are responsible for collecting multi-dimensional data such as potato planting information, market prices, transaction data, logistics information and consumer feedback, and providing data support for the intelligent data management system for potato transactions.

[0047] Preferably, the data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

[0048] Preferably, the data preprocessing module uses a distributed database, data warehouse and big data processing framework to store and back up data, cleans, integrates and stores the collected data, and uses big data processing technology to perform preliminary analysis to provide a basis for subsequent analysis.

[0049] As a preferred option, the intelligent analysis module can predict future price trends based on historical data, and can also evaluate the impact of weather, pests and diseases and other factors on production, adjust inventory strategies according to sales forecasts, and reduce waste. The intelligent analysis module uses AI algorithms such as machine learning and deep learning to predict market trends, analyze supply and demand, evaluate planting risks, optimize inventory management and provide personalized recommendations.

[0050] Preferably, the intelligent analysis module comprises the following steps when operating:

[0051] S11: The intelligent analysis module first obtains the cleaned and integrated potato-related data from the data and processing module, and ensures the accuracy and completeness of the data used for analysis;

[0052] S12: Use AI algorithms such as machine learning and deep learning to build corresponding data analysis models according to business needs. Through model analysis, deeply explore the laws and trends behind the data to improve the accuracy and depth of analysis;

[0053] S13: Use historical data to train and verify the constructed data analysis model, continuously adjust model parameters, and optimize model performance;

[0054] S14: Input the real-time collected data into the trained model for real-time analysis and prediction;

[0055] S15: Output the analysis results to the user in the form of charts, reports, etc.

[0056] Preferably, through real-time and accurate data analysis, it helps users quickly understand market trends and planting risks. Through functions such as market forecasting and personalized recommendations, it helps users seize market opportunities, optimize product structure and sales strategies, and enhance market competitiveness. It can provide timely and accurate analysis results and recommend appropriate decisions for users.

[0057] As a preferred option, the transaction management module can automatically match the two parties to the transaction based on the buyer's demand and the seller's supply, establish a credit system for the two parties to the transaction, and ensure the security of the transaction. The transaction management module is used to provide an online transaction platform, support order management, payment settlement, contract signing and other functions, simplify the transaction process, and improve transaction efficiency.

[0058] As a preferred option, the logistics tracking and monitoring module integrates GPS positioning, Internet of Things sensors, and combines with the GIS geographic information system to achieve full-process visual tracking. The logistics tracking and monitoring module is used to monitor key indicators such as location, temperature, and humidity during potato transportation in real time to ensure the safe delivery of goods.

[0059] Preferably, the quality traceability and certification module is used to establish a unique traceability code for each batch of potatoes, recording the entire process information from planting to sales, facilitating quality traceability and certification. Through the quality traceability and certification module, consumers can query product information by scanning the traceability code, thereby enhancing consumer trust.

[0060] Preferably, a unique traceability code can be established for each batch of potatoes through the quality traceability and certification module, and the entire process information from planting, growth, picking, processing, packaging to sales can be recorded. Consumers can easily obtain detailed information and historical records of the product by scanning the traceability code, thereby increasing their understanding and trust in the product.

[0061] Preferably, the user service and feedback module is used to provide functions such as user registration, login, personal information management, customer service support and user feedback collection, to enhance the user experience and provide customized market analysis reports or planting suggestions for different users.

[0062] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge scope of those skilled in the art without departing from the spirit of the present invention.

Claims

1. An intelligent potato trading data management system; characterized by: Included are: Data collection module: used to collect potato planting information in real time; Data transmission module: used to transmit the potato planting information collected by the data acquisition module; Data preprocessing module: used to preprocess the data information transmitted by the data transmission module; Intelligent analysis module: used to predict and analyze market trends; Transaction management module: used to provide online education platform; Logistics tracking and monitoring module: used to monitor potato transportation logistics in real time; Quality traceability and certification module: used to mark each batch of potatoes; User service and feedback module: used to provide user interaction interface.

2. The intelligent potato trading data management system according to claim 1, characterized in that: The data collection module includes multiple types of sensors and tag collectors, which are responsible for collecting multi-dimensional data such as potato planting information, market prices, transaction data, logistics information and consumer feedback, providing data support for the intelligent data management system for potato transactions.

3. The intelligent potato trading data management system according to claim 2, characterized in that: The data transmission module includes a 3G information transmission module, a 4G signal transmission module, a Bluetooth transmission module and a GPS signal module. The data transmission module makes an intelligent judgment on the signal strength, uses the 3G information transmission module, the 4G signal transmission module, the Bluetooth transmission module and the GPS signal module to establish a stable signal transmission chain, and transmits the data collected by the data acquisition module to the data preprocessing module.

4. The intelligent potato trading data management system according to claim 3 is characterized by: The data preprocessing module uses distributed databases, data warehouses and big data processing frameworks to store and back up data. It also cleans, integrates and stores the collected data, and uses big data processing technology to perform preliminary analysis, providing a basis for subsequent analysis.

5. The intelligent potato trading data management system according to claim 4, characterized in that: The intelligent analysis module can predict future price trends based on historical data. It can also evaluate the impact of weather, pests and diseases and other factors on production, adjust inventory strategies according to sales forecasts, and reduce waste. The intelligent analysis module uses AI algorithms such as machine learning and deep learning to predict market trends, analyze supply and demand, evaluate planting risks, optimize inventory management and provide personalized recommendations.

6. The intelligent potato trading data management system according to claim 5, characterized in that: When the intelligent analysis module is working, the following steps are included: S11: The intelligent analysis module first obtains the cleaned and integrated potato-related data from the data and processing module, and ensures the accuracy and completeness of the data used for analysis; S12: Use AI algorithms such as machine learning and deep learning to build corresponding data analysis models according to business needs. Through model analysis, deeply explore the laws and trends behind the data to improve the accuracy and depth of analysis; S13: Use historical data to train and verify the constructed data analysis model, continuously adjust model parameters, and optimize model performance; S14: Input the real-time collected data into the trained model for real-time analysis and prediction; S15: Output the analysis results to the user in the form of charts, reports, etc.

7. The intelligent potato trading data management system according to claim 6, characterized in that: The transaction management module can automatically match the two parties of a transaction based on the buyer's demand and the seller's supply, establish a credit system for both parties of the transaction, and ensure the security of the transaction. The transaction management module is used to provide an online transaction platform, support order management, payment settlement, contract signing and other functions, simplify the transaction process and improve transaction efficiency.

8. The intelligent potato trading data management system according to claim 7, characterized in that: The logistics tracking and monitoring module integrates GPS positioning, Internet of Things sensors, and combines with the GIS geographic information system to achieve full-process visual tracking. The logistics tracking and monitoring module is used to monitor key indicators such as location, temperature, humidity, etc. during potato transportation in real time to ensure the safe delivery of goods.

9. The intelligent potato trading data management system according to claim 8, characterized in that: The quality traceability and certification module is used to establish a unique traceability code for each batch of potatoes, recording the entire process information from planting to sales, facilitating quality traceability and certification. Through the quality traceability and certification module, consumers can query product information by scanning the traceability code, thereby enhancing consumer trust.

10. The intelligent potato trading data management system according to claim 9, characterized in that: The user service and feedback module is used to provide functions such as user registration, login, personal information management, customer service support and user feedback collection, enhance user experience, and provide customized market analysis reports or planting suggestions for different users.

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