Tea industry total factor analysis and mixed interaction system based on AI large model

Abstract

The invention discloses a tea industry total factor analysis and hybrid interaction system based on an AI large model, and the system comprises an AI large model module, an input module, an output module, and a block chain traceability system. The block chain traceability system comprises a tea garden intelligent monitoring module, a tea raw material information storage module, a refined tea information generation module, a refined tea and raw material association storage module, a finished tea information generation module and a finished tea and refined tea association storage module. Through the block chain traceability system, all record information of the tea product from raw material acquisition to refined tea preparation to finished product packaging can be easily obtained, total factor analysis and query of the tea industry and mixed interaction check among all industry chains are met, operation is simple and convenient, quality safety of the tea product is guaranteed, and the method is suitable for popularization and application. The credibility of consumers on tea products is enhanced, the overall competitiveness of the tea industry is improved, and the digital and intelligent transformation of the tea industry is promoted.

Description

Technical Field

[0001] The present invention and the field of tea industry technology specifically provide a tea industry full-factor analysis and hybrid interaction system based on an AI big model. Background Art

[0002] With the gradual development of the tea industry, from the planting, procurement, transportation, and classification of tea raw materials to the refining and processing of tea raw materials, warehousing, packaging of finished products, entering and printing codes, recording production dates, raw material prices, purchase quantities, and suppliers, etc., the basic information of the industrial chain generally requires tedious manual entry, query, and verification for each batch, as it requires the cooperation of manufacturers in each link. Each process needs to be checked again from the beginning, which is cumbersome and troublesome, and is not conducive to the supervision and management of tea product quality. Consumers can only understand and query very little information, resulting in insufficient trust in tea industry products. To this end, we propose a full-factor analysis and hybrid interaction system for the tea industry based on AI big models. Summary of the invention

[0003] The purpose of the present invention is to provide a tea industry full-factor analysis and hybrid interaction system based on an AI big model to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a tea industry full-factor analysis and hybrid interaction system based on AI big model, comprising an AI big model module, an input module, an output module and a blockchain traceability system, wherein the AI ​​big model module is electrically connected to the input module, the output module and the blockchain traceability system;

[0005] The blockchain traceability system includes a tea garden intelligent monitoring module, a tea raw material information storage module, a refined tea information generation module, a refined tea and raw material association storage module, a finished tea information generation module and a finished tea and refined tea association storage module;

[0006] The tea garden intelligent monitoring module is a real-time information system for tea raw material production areas, including a soil moisture monitoring module, a temperature monitoring module, a light intensity monitoring module and a remote sensing monitoring module. The tea garden intelligent monitoring module is electrically connected to the tea raw material information storage module;

[0007] The refined tea information generation module is a system for generating a QR code or coded information for recording the origin information of the tea raw materials and the processed refined tea, and the refined tea information generation module is electrically connected to the refined tea and raw material association storage module;

[0008] The finished tea information generation module is a system for generating relevant information such as the batch number of the finished tea after the refined tea is processed and packaged, and the finished tea information generation module is electrically connected to the finished tea and refined tea association storage module.

[0009] Preferably, the input module includes a user input terminal and an administrator input terminal.

[0010] Preferably, the output module includes an image and language display system.

[0011] Preferably, the tea raw material information storage module is a tea raw material origin real-time information storage system.

[0012] Preferably, the refined tea and raw material association storage module is a storage system for information related to batch codes of refined tea processed from corresponding batches of tea raw materials.

[0013] Preferably, the finished tea and refined tea associated storage module is a storage system for information related to the storage of batch numbers of the finished tea corresponding to the refined tea after processing and packaging.

[0014] Compared with the prior art, the present invention has the following beneficial effects:

[0015] 1) This tea industry full-factor analysis and hybrid interactive system based on AI big model, through the set tea garden intelligent monitoring module, managers can view and monitor the detailed information of tea planting in real time, adjust according to real-time data to achieve the best water and fertilizer use efficiency, reduce pesticide use and improve crop health through early detection and precise intervention, more accurate yield forecasts help formulate sales and market strategies, optimize energy use in greenhouse management, reduce costs and reduce environmental impact;

[0016] 2) This tea industry full-factor analysis and hybrid interactive system based on AI big model ensures the decentralization of the tea quality traceability system by setting up a blockchain traceability system, avoids the manipulation of data by a single organization or individual, and improves the fairness and transparency of the data. It is tamper-proof: once the data on the blockchain is written, it cannot be tampered with, ensuring the authenticity and credibility of tea production information. Each participant in the system has a complete copy of the ledger, so that the data is backed up and verified in the distributed network, enhancing the robustness and security of the system, and realizing real-time monitoring and data recording of the entire process of tea from planting, picking, processing to finished product packaging and sales, ensuring the authenticity and quality controllability of tea products, providing consumers with reliable quality assurance, and at the same time improving the credibility and market competitiveness of tea brands;

[0017] 3) This tea industry full-factor analysis and hybrid interactive system based on AI big model, through the set input module, output module and AI big model module, realizes the traceability of the origin of tea for consumers. It can trace the origin, production data, inspection report logistics information and modification history of tea for inquiry. Consumers only need to scan the QR code on the product or enter the serial number to easily query the production information of tea. It is convenient and fast. The production information of tea is displayed to consumers in a graphic and textual way, which improves the readability and understandability of information, ensures the quality and safety of tea products, enhances consumers' trust in tea products, improves the overall competitiveness of the tea industry, and promotes the transformation of the tea industry to digitalization and intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the structure of the present invention;

[0019] Figure 2 It is a schematic diagram of the structure of the input module of the present invention;

[0020] Figure 3 This is a schematic diagram of the structure of the tea garden intelligent monitoring module of the present invention;

[0021] In the figure: 1 AI large model module, 2 input module, 201 user input terminal, 202 administrator input terminal, 3 output module, 4 blockchain traceability system, 401 tea garden intelligent monitoring module, 402 tea raw material information storage module, 403 refined tea information generation module, 404 refined tea and raw material associated storage module, 405 finished tea information generation module, 406 finished tea and refined tea associated storage module. DETAILED DESCRIPTION

[0022] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] See also Figure 1-3, the present invention provides a technical solution: a tea industry full-factor analysis and hybrid interaction system based on AI big model, including AI big model module 1, input module 2, output module 3 and blockchain traceability system 4, the AI ​​big model module 1 is electrically connected with the input module 2, the output module 3 and the blockchain traceability system 4; establish an internal app system for the tea industry, the input module 2 includes a user input terminal 201 and an administrator input terminal 202, the user input terminal 201 and the administrator input terminal 202 input query through the input port on the established APP, the output module 3 includes an image and language display system, and the query structure is output and displayed through the output port on the app;

[0024] The blockchain traceability system 4 includes a tea garden intelligent monitoring module 401, a tea raw material information storage module 402, a refined tea information generation module 403, a refined tea and raw material association storage module 404, a finished tea information generation module 405 and a finished tea and refined tea association storage module 406; the blockchain traceability system 4 is used for a detailed blockchain traceability system for tea, and the information from tea raw material picking information to refined processing and finished product packaging is generated and recorded in the blockchain traceability system 4 of the APP;

[0025] The tea garden intelligent monitoring module 401 is a real-time blockchain traceability system for tea raw material origin, and the tea garden intelligent monitoring module 401 is electrically connected to the tea raw material information storage module 402; the tea raw material information storage module 402 is a real-time information storage system for tea raw material origin, which obtains the information of harvested tea raw materials; the tea garden intelligent monitoring module 401 is a real-time information system for tea raw material origin, including a soil moisture monitoring module 4011, a temperature monitoring module 4012, a light intensity monitoring module 4013 and a remote sensing monitoring module 4014;

[0026] The soil moisture sensor of the soil moisture monitoring module 4011 can measure the moisture content in the soil in real time and transmit the data to the control center. According to the data feedback, the grower can accurately control the irrigation system to ensure that the tea leaves get the right amount of moisture and avoid affecting the quality of the tea leaves due to too much or too little moisture.

[0027] The temperature sensor of the temperature monitoring module 4012 can monitor the temperature changes in the tea garden in real time, helping growers understand the growing environment of tea. Under extreme weather conditions, growers can take timely measures based on temperature data, such as setting up sunshade nets or heating equipment, to maintain a suitable temperature in the tea garden;

[0028] The light intensity sensor of the light intensity monitoring module 4013 can measure the light intensity in the tea garden, helping growers understand the light requirements of tea. Based on the light data, growers can adjust the planting density and tea tree pruning method to optimize the photosynthesis efficiency of tea and improve tea yield and quality;

[0029] Remote sensing monitoring module 4014 uses sensors carried by satellites and drones, and uses multispectral remote sensing, thermal infrared remote sensing, lidar remote sensing and other technologies to scan tea crops and obtain information on crop growth conditions, pest and disease occurrence, etc. Remote sensing monitoring has the advantages of wide coverage, high speed and short cycle, and can timely detect the occurrence and spread of pests and diseases, providing data support for pest and disease control;

[0030] The tea garden intelligent monitoring module 401 can be combined with the early warning system. When abnormal data (such as pests and diseases, extreme weather, etc.) is monitored, an alarm can be issued immediately to remind growers and managers to take timely countermeasures. This helps to reduce production risks, reduce losses, and ensure the quality and yield of tea; the early warning system includes pest and disease monitoring and early warning, extreme weather warning, tea quality monitoring and early warning, and water source monitoring and early warning; through the administrator input terminal 202, the administrator can view and monitor the detailed information of tea planting in real time through the blockchain traceability system 4 connected to the AI ​​large model module 1, and adjust according to the real-time data to achieve the best water resource and fertilizer use efficiency, reduce pesticide use and improve crop health through early detection and precise intervention, and more accurate yield forecasts help formulate sales and market strategies, optimize energy use in greenhouse management, reduce costs and reduce environmental impact;

[0031] Pest and disease monitoring and early warning: IoT sensors can monitor environmental parameters such as temperature, humidity, and light in the tea garden, as well as the nutrient and moisture content in the soil. When abnormal data is detected, the early warning system can immediately issue a pest and disease warning to remind growers to take corresponding prevention and control measures, such as spraying pesticides or introducing natural enemies.

[0032] Extreme weather warning: IoT sensors can monitor meteorological conditions in tea gardens, such as temperature, rainfall, wind speed, etc. When extreme weather events (such as heavy rain, drought, high temperature, etc.) are detected, the early warning system can immediately issue an alarm to remind growers to take corresponding protective measures, such as increasing irrigation, shading, windproofing and branch fixing, etc.

[0033] Tea quality monitoring and early warning: IoT sensors can monitor the growth status and quality indicators of tea, such as chlorophyll content and leaf thickness. When signs of deterioration in tea quality are detected, the early warning system can immediately sound an alarm to remind growers to take corresponding management measures, such as adjusting fertilization, pruning, and picking, to ensure the quality and yield of tea.

[0034] Water source monitoring and early warning: IoT sensors can monitor the water source conditions in the tea garden, such as water level and water quality. When abnormal water sources are detected, the early warning system can immediately issue an alarm to remind growers to take corresponding measures, such as increasing water supply and improving water quality, to ensure the normal growth of tea trees.

[0035] The tea raw material information storage module 402 records and generates basic information such as the tea raw material supplier, the quality of the tea raw material and its own product information, the purchased quantity and the purchased price. A unique order code is assigned to each purchase order through a code generator, and the order code is associated with the corresponding order information to generate a corresponding QR code, which is displayed in the electronic order of the APP to facilitate the query of the user end or the management end;

[0036] The refined tea information generation module 403 is a system for generating a QR code or coding information of the processed refined tea and the origin information of the tea raw materials. The refined tea information generation module 403 is electrically connected to the refined tea and raw material association storage module 404; the refined tea and raw material association storage module 404 is a storage system for information related to batch codes of the processed refined tea of ​​the corresponding batch of tea raw materials. After the tea raw materials are processed into refined tea in the processing plant, the corresponding raw material information, supplier information, purchase price and other basic information are entered and associated, and entered into the refined tea and raw material association storage module 404;

[0037] The finished tea information generation module 405 is a system for generating relevant information such as the batch number of the finished tea after the refined tea is processed and packaged, and the finished tea information generation module 405 is electrically connected to the finished tea and refined tea association storage module 406. The finished tea and refined tea association storage module 406 is a storage system for relevant information such as the batch number of the finished tea corresponding to the refined tea after processing and packaging. After the refined tea is processed into finished tea again, the finished tea number and QR code of the finished tea are generated by the finished tea information generation module 405. After the QR code generated by the finished tea is stored and bound, its production date is recorded, and the corresponding refined tea number information is associated and entered into the finished tea and refined tea association storage module 406. Then, through the AI ​​large model module 1, the correspondence is recorded in the tea industry APP, and at the same time, the corresponding code is generated for the packaged finished tea and printed on the product packaging, and the finished tea code is associated and bound in the product app applet.

[0038] As a feasible implementation method, in order to realize one-click query of the overall processing flow of finished tea, from raw material collection to refined tea processing and finished product packaging, data aggregation and operation retrieval are performed based on AI model module 1. The overall detailed information of tea products can be easily entered and queried from the system of the tea industry app. The following steps are adopted:

[0039] Step 1: Obtain a user request through the user input terminal 201 or the administrator input terminal 202 of the input module 2. The user request can be input in the form of text or audio, etc.; its form can be digital code input, language input or text input, etc.;

[0040] Step 2: Use the AI ​​big model 1 to deeply understand and process the user request input in the input module 2, and exchange information with the blockchain traceability system 4 based on the understanding results; obtain real-time and accurate information based on the tea raw material information storage module 402, the refined tea and raw material association storage module 404 and the finished tea and refined tea association storage module 406 in the blockchain traceability system 4, and return it to the AI ​​big model module 1; the AI ​​big model module 1 summarizes the obtained information and generates AI processing results;

[0041] Step 3: The processing results generated by the AI ​​large model module 1 are output through the output module 3 and output from the app in the form of images, videos, voice or text.

[0042] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A tea industry full factor analysis and hybrid interaction system based on AI big model, characterized by: It comprises an AI large model module (1), an input module (2), an output module (3) and a blockchain traceability system (4), wherein the AI ​​large model module (1) is electrically connected to the input module (2), the output module (3) and the blockchain traceability system (4); The blockchain traceability system (4) comprises a tea garden intelligent monitoring module (401), a tea raw material information storage module (402), a refined tea information generation module (403), a refined tea and raw material association storage module (404), a finished tea information generation module (405) and a finished tea and refined tea association storage module (406); The tea garden intelligent monitoring module (401) is a real-time information system of tea raw material production areas, comprising a soil moisture monitoring module (4011), a temperature monitoring module (4012), a light intensity monitoring module (4013) and a remote sensing monitoring module (4014); the tea garden intelligent monitoring module (401) is electrically connected to the tea raw material information storage module (402); The refined tea information generation module (403) is a system for generating a QR code or coded information of the tea raw material origin and the processed refined tea, and the refined tea information generation module (403) is electrically connected to the refined tea and raw material association storage module (404); The finished tea information generation module (405) is a system for generating relevant information such as the batch number of the finished tea after the refined tea is processed and packaged, and the finished tea information generation module (405) is electrically connected to the finished tea and refined tea associated storage module (406).

2. According to claim 1, a tea industry full factor analysis and hybrid interaction system based on AI big model is characterized by: The input module (2) comprises a user input terminal (201) and an administrator input terminal (202).

3. According to claim 1, a tea industry full factor analysis and hybrid interaction system based on AI big model is characterized by: The output module (3) comprises an image and language display system.

4. According to claim 1, a tea industry full factor analysis and hybrid interaction system based on AI big model is characterized by: The tea raw material information storage module (402) is a real-time information storage system of tea raw material production areas.

5. According to claim 1, a tea industry full factor analysis and hybrid interaction system based on AI big model is characterized by: The refined tea and raw material associated storage module (404) is a system for storing information related to batch codes of refined tea processed from tea raw materials of corresponding batches.

6. According to claim 1, a tea industry full factor analysis and hybrid interaction system based on AI big model is characterized by: The finished tea and refined tea associated storage module (406) is a storage system for the batch number of the finished tea corresponding to the refined tea after processing and packaging, and other related information.

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