White tea product whole life cycle management and control system and method based on cloud computing

Abstract

The present application relates to the technical field of white tea product whole life cycle management, and discloses a white tea product whole life cycle management and control system and method based on cloud computing, the system comprises a white tea product planting management module, a white tea product processing management module, a white tea product storage management module and a white tea product transportation management module; real-time storage environment video and real-time transportation environment video of the white tea product are conveniently obtained through a cloud lens, sensor is used to efficiently collect white tea product storage site environment state and transportation site environment state parameters, and data support is provided for visual monitoring of the white tea product storage and transportation state; the real-time storage state and real-time transportation state of the white tea product are intuitively fed back, dynamic management and control of the whole life cycle of white tea product planting, processing, storage and transportation is realized, and the quality and user satisfaction of the white tea product are improved.

Description

Technical Field

[0001] This invention relates to the technical field of full lifecycle management of white tea products, specifically to a cloud computing-based full lifecycle management system and method for white tea products. Background Technology

[0002] White tea is a lightly fermented tea, named for its finished product consisting mostly of buds covered in white down, resembling silver and snow. White tea is processed without killing the green or rolling; it is only dried in the sun or over a gentle fire. It is characterized by its intact buds and downy hairs, fresh and delicate aroma, clear yellow-green liquor, and light, sweet aftertaste. The basic processing of white tea includes withering, baking, sorting, and re-firing. Sun-drying is the primary processing method for white tea, as it preserves the original fresh aroma and flavor of the tea leaves. Withering is a crucial step in shaping the quality of white tea. Depending on the tea variety and raw material requirements, white tea is divided into four types: Silver Needle, White Peony, Shoumei, and Gongmei. As people increasingly pursue higher quality white tea, it has become an issue to address how to make the planting, processing, storage, and transportation processes of white tea products transparent, ensuring the openness and transparency of white tea product information, and improving people's trust in the quality of white tea products. However, existing white tea product information management systems typically use ordinary QR codes to provide advertising-style information about white tea products, which lacks credibility. At the same time, current white tea product information management systems cannot provide customers with real-world monitoring information throughout the entire lifecycle of white tea products.

[0003] Chinese invention patent CN112862296B discloses a tea quality traceability system and method based on the Internet of Things (IoT). The system includes a tea production process monitoring unit for real-time monitoring and statistical analysis of the tea's growing environment, quality levels at different stages of the production line, and transportation node control; a production batch management unit for dividing harvested tea into multiple production batches and recording time parameters of the same production batch at different stages of the tea production line; a retail statistics unit for statistical analysis of the production batches corresponding to the multiple boxes of tea allocated to each authorized retail unit; a data management platform including but not limited to a front-end operating system and a back-end data backup unit, which integrates and processes the tea monitoring results and provides a unique identity for each box of tea; and a traceability code linking unit for providing a unique traceability code for each box of tea. This invention enhances user trust in the quality traceability system and facilitates enterprise management of tea product flow and quality monitoring. However, the above technical solutions cannot provide customers with real-world regulatory information throughout the entire lifecycle of tea products. Summary of the Invention

[0004] (a) Technical problems to be solved

[0005] To address the shortcomings of existing white tea product information management systems, which typically use ordinary QR codes to provide advertising-style information about white tea products with low credibility, and the inability of current systems to provide customers with real-world monitoring information throughout the entire lifecycle of white tea products, this system aims to achieve the following: accurate feedback on the planting status of white tea products; precise collection of image parameters of white tea product processing procedures; intelligent analysis of abnormal processing procedures; intuitive feedback on the processing status of white tea products; visual feedback on the storage status of white tea products; and online monitoring of the transportation status of white tea products.

[0006] (II) Technical Solution

[0007] This invention is achieved through the following technical solution: a method for managing the entire life cycle of white tea products, the method comprising the following steps:

[0008] S1. Collect real-time video data of the planting environment of white tea products and real-time geographical environment data of white tea products.

[0009] S2. Import the real-time planting geographical environment data of the white tea product into the real-time planting environment video data of the white tea product through video editing software to generate real-time planting status video data of the white tea product, and upload the real-time planting status video data of the white tea product to the white tea user management platform and output it.

[0010] S3. When the real-time planting status video data of the white tea product is generated, collect the real-time processing environmental video data of the white tea product, the real-time processing site environmental data of the white tea product, and the real-time processing image data of the white tea product.

[0011] S4. Perform image matching of the real-time processing process image data of the white tea product with the abnormal processing process image data of the white tea product to analyze and construct real-time abnormal processing process identification data of the white tea product.

[0012] S5. Import the real-time processing environment data of the white tea product and the real-time abnormal processing identification data of the white tea product into the real-time processing environment video data of the white tea product through video editing software to generate real-time processing status video data of the white tea product, and upload the real-time processing status video data of the white tea product to the white tea user management platform and output it.

[0013] S6. When the real-time processing status video data of the white tea product is generated, collect the real-time storage environment video data of the white tea product and the real-time storage site environment data of the white tea product.

[0014] S7. Import the real-time storage environment data of the white tea product into the real-time storage environment video data of the white tea product through video editing software to generate real-time storage status video data of the white tea product, and upload the real-time storage status video data of the white tea product to the white tea user management platform and output it.

[0015] S8. When the real-time storage status video data of the white tea product is generated, collect the real-time transportation environment video data and the real-time transportation site environment data of the white tea product; import the real-time transportation site environment data of the white tea product into the real-time transportation environment video data of the white tea product through video editing software to generate the real-time transportation status video data of the white tea product, and upload the real-time transportation status video data of the white tea product to the white tea user management platform and output it.

[0016] Preferably, the steps for collecting real-time video data of the white tea planting environment and real-time geographical environment data of the white tea planting are as follows:

[0017] S11. Collect video data of the geographical environment of the corresponding tea plantation and growth stage of white tea products online through cloud lens and generate real-time planting environment video data A of white tea products. The real-time planting environment video data of white tea products represents real-time video data of the tea leaves, white tea plants and geographical environment corresponding to white tea products.

[0018] The temperature, humidity, light intensity, and spatial coordinates of the geographical environment in which white tea is grown are collected online by sensors to generate real-time geographical environment data A' for white tea. The sensors include temperature sensors, humidity sensors, light intensity sensors, and location sensors.

[0019] This invention uses cloud cameras and sensors to acquire real-time videos and environmental parameters of the geographical environment in which white tea products are planted and grown online, thereby providing reliable data support for a true and intuitive feedback on the planting and growth process of white tea products.

[0020] Preferably, the steps for importing the real-time geographical environment data of the white tea product's planting into the real-time planting environment video data of the white tea product using video editing software to generate real-time planting status video data of the white tea product, and uploading the real-time planting status video data of the white tea product to the white tea user management platform and outputting the results are as follows:

[0021] S21. Import the real-time planting geographical environment data A' of the white tea product into the real-time planting environment video data A of the white tea product using video editing software with dynamic subtitles to generate real-time planting status video data A of the white tea product. zhongzhi The video editing software includes any one of the following: video editor, Premiere Pro, NetEase Jianwai Workbench, and BeeCut.

[0022] S22, Transfer the real-time planting status video data A of the white tea product. zhongzhi The data is uploaded to the white tea user management platform via an IoT communication network and output through a player, which includes any one of PotPlayer, VLC, iQiyi Universal Broadcast, or QQ Video.

[0023] This invention generates real-time planting status video data of white tea products by editing and processing real-time geographical environment parameters and real-time planting environment video parameters of white tea products, and then feeds it back to the user management platform, thereby achieving the effect of dynamic visualization feedback on the real-time planting and growth status of white tea products.

[0024] Preferably, when the real-time planting status video data of the white tea product is generated, the operation steps for collecting real-time processing environmental video data, real-time processing site environmental data, and real-time processing image data of the white tea product are as follows:

[0025] S31, when the real-time planting status video data A of the white tea product... zhongzhi Upon completion of the generation, video data of the on-site environment of different processing steps of white tea products are collected online through cloud cameras and real-time processing step environment video data B of white tea products is generated. The real-time processing step environment video data of white tea products represents real-time video data of the operation process and on-site environment of the tea products in different processing steps.

[0026] The temperature, humidity, light intensity, and spatial coordinates of white tea leaves at different processing stages are collected online by sensors, and real-time processing stage environmental data B' of white tea products is generated.

[0027] By capturing images of white tea leaves at different processing stages online using a camera, a real-time image data set of white tea product processing stages, B”=(b”1,…,b”), is generated. o ,…,b” ε ), o=1,2,3,…,ε; where b” o ε represents the o-th real-time processing image data of white tea product, and ε represents the maximum number of real-time processing image data of white tea product.

[0028] This invention achieves the effect of providing reliable data support for intuitive feedback on the white tea product processing process by efficiently acquiring on-site environmental videos, on-site environmental status parameters, and image parameters of the white tea product processing process.

[0029] Preferably, the steps for matching the real-time processing image data of the white tea product with the abnormal processing image data of the white tea product to construct real-time abnormal processing identification data of the white tea product are as follows:

[0030] S41. Establish a set of image data C = (c1, ..., c) for abnormal processing procedures of white tea products. u ,…,c φ ), u=1,2,3,…,φ; where c u The image data of abnormal processing steps of white tea product corresponding to the abnormal processing steps of the uth type of white tea product, φ represents the maximum number of abnormal processing steps of white tea product, the abnormal processing steps of white tea product include piling up in the withering process, sun exposure causing sun spots in the drying process, and water spraying during the drying process.

[0031] S42. Using a data recognition algorithm, the real-time processing image data of white tea products in the real-time processing image data set B” is used to identify the image data b” of the real-time processing process of white tea products. o Image data of abnormal processing steps of white tea products in the image data set C of the abnormal processing steps of white tea products u Image matching of processing steps was performed to analyze and construct real-time abnormal processing step identification data for white tea products. yichang ;Execute and construct real-time abnormal processing procedure identification data for white tea products c yichang The specific operating steps are as follows:

[0032] S421. Initialize and update the pigeon population size N and the maximum number of iterations T;

[0033] S422. Exploration Phase: The number of iterations is within the range [0, t1], where t1 = 0.8xT. During the exploration phase, it is necessary to identify the pigeon's position and target based on the processing steps, calculate the speed at which the pigeon is identified in the processing steps, and add the speed to the current position to obtain the new position. That is, search within the search space of the abnormal processing step image data set C of white tea products to find the image data b" that matches the real-time processing step image data of white tea products. o Image data of abnormal processing steps for the most matching white tea product c u The formula for calculating the pigeon's speed based on its position and processing steps is as follows: in This indicates that the processing step identifies the new velocity of pigeon i in the j-dimensional space during the exploration phase, i.e. This indicates the new speed of pigeon i in the exploratory phase of identifying abnormal processing steps of white tea products within the search space of image data set C of dimension φ; σ represents the original velocity of pigeon i in the j-dimensional space during the exploration phase of the processing step identification process, that is, the original velocity of pigeon i in the search space of the image data set C of the abnormal processing steps of white tea products in dimension φ during the exploration phase; σ is a constant with a value of 0.2, t represents the current iteration number of the algorithm, and e -σ×t Let represent an exponential function with base e, and rand be a uniformly distributed random number taking values ​​in the interval [0,1]. This represents the optimal position of the processing step identification pigeon in the j-dimensional space during the exploration phase, that is, the search within the search space of the white tea product abnormal processing step image data set C of dimension φ, which is the position of the pigeon in the j-dimensional space. o Image data of abnormal processing steps for the most matching white tea product c u Location; The new position of the processing step identification pigeon i in the j-dimensional space represents the original position of the processing step identification pigeon i in the search space of the white tea product abnormal processing step image data set C of dimension φ during the exploration phase; the formula for calculating the new position of the processing step identification pigeon is as follows: in This indicates the new position of the processing procedure identification pigeon i in the j-dimensional space during the exploration phase, that is, the new position of the processing procedure identification pigeon i in the search space of the white tea product abnormal processing procedure image data set C of dimension φ during the exploration phase;

[0034] S423. Development Phase: The development phase involves iterations within the range [t1, T]. First, the pigeon population identifying the processing steps needs to be sorted. This population is divided into two groups: excellent and ordinary. The excellent group retains its original position, while its position and fitness value are provided as parameters for the ordinary group to determine its new position. The formula for calculating the new position of the ordinary group is as follows:

[0035] in This indicates the new position of the processing step identification pigeon i in the j-dimensional space during the development stage, that is, the new position of the processing step identification pigeon i in the search space of the white tea product abnormal processing step image data set C of dimension φ during the development stage; This indicates the optimal position of the pigeon group in the j-dimensional space during the development stage of the excellent group's processing procedure identification pigeon group, that is, the search result of the pigeon group in the development stage of the abnormal processing procedure image data set C of white tea products in dimension φ, which is related to the real-time processing procedure image data b of white tea products. o Image data of abnormal processing steps for the most matching white tea product c u The best location;

[0036] S424. When the algorithm reaches the maximum number of iterations, it outputs image data b of the real-time processing steps of the white tea product. o Matching image data of abnormal processing steps in white tea products c u ;

[0037] S425. Based on the image data of the abnormal processing procedure of the white tea product output in step S424... u The corresponding abnormal processing procedures for white tea products are used to construct real-time abnormal processing procedure identification data for white tea products. yichang .

[0038] This invention generates real-time abnormal processing data for white tea products by scientifically pre-setting image parameters of abnormal processing steps and combining them with a cloud-based pigeon flock optimization algorithm and real-time processing step image parameters of white tea products. This achieves the effect of intelligently analyzing the status of abnormal processing steps in white tea products.

[0039] Preferably, the steps for importing the real-time processing environment data and the real-time abnormal processing identification data of the white tea product into the real-time processing environment video data of the white tea product using video editing software to generate real-time processing status video data of the white tea product, and then uploading the real-time processing status video data of the white tea product to the white tea user management platform and outputting the results are as follows:

[0040] S51. The real-time processing environment data B' of the white tea product and the real-time abnormal processing identification data c of the white tea product are combined. yichang The real-time processing status video data B of the white tea product is generated by importing the video data of the white tea product's real-time processing environment into video editing software using dynamic subtitles. jiagong ;

[0041] S52, transfer the real-time processing status video data of the white tea product to B. jiagong The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0042] This invention generates real-time processing status video data of white tea products by editing and processing on-site environmental parameters of real-time processing procedures, real-time abnormal processing procedure identification parameters of white tea products, and real-time processing procedure environmental videos of white tea products. This data is then fed back to the user management platform, achieving a complete and clear feedback of the entire process status of white tea products in real-time processing.

[0043] Preferably, when the real-time processing status video data of the white tea product is generated, the operation steps for collecting the real-time storage environment video data and the real-time storage site environment data of the white tea product are as follows:

[0044] S61, when the real-time processing status video data B of the white tea product is available... jiagong Upon completion of the generation process, real-time video data of the on-site environment of the white tea product corresponding to the finished tea product in the warehouse storage process is collected online through cloud camera and the real-time storage environment video data D of the white tea product is generated. The real-time storage environment video data of the white tea product represents the real-time video data of the finished tea product and the storage environment in the warehouse storage process.

[0045] The system uses sensors to collect data on the temperature, humidity, light intensity, and spatial coordinates of the white tea product's on-site environment during warehouse storage, generating real-time storage environment data D' for the white tea product.

[0046] This invention uses cloud cameras and sensors to conveniently acquire real-time video of the storage environment of white tea products and environmental parameters of the storage site, thereby providing data support for the visual monitoring of the storage status of white tea products.

[0047] Preferably, the steps for importing the real-time storage environment data of the white tea product into the real-time storage environment video data of the white tea product using video editing software to generate real-time storage status video data of the white tea product, and uploading the real-time storage status video data of the white tea product to the white tea user management platform and outputting the results are as follows:

[0048] S71. Import the real-time storage environment data D' of the white tea product into the real-time storage environment video data D of the white tea product using video editing software with dynamic subtitles to generate real-time storage status video data D of the white tea product. cunchu ;

[0049] S72. Store the real-time status video data D of the white tea product. cunchu The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0050] This invention generates real-time storage status video data of white tea products by editing and processing the on-site environmental parameters and video data of the real-time storage environment of white tea products, and then feeds it back to the user management platform, thereby achieving the effect of intuitive feedback on the real-time storage status of white tea products.

[0051] Preferably, when the real-time storage status video data of the white tea product is generated, the real-time transportation environment video data and the real-time transportation site environment data of the white tea product are collected; the real-time transportation site environment data of the white tea product is imported into the real-time transportation environment video data of the white tea product using video editing software to generate real-time transportation status video data of the white tea product; the operation steps for uploading the real-time transportation status video data of the white tea product to the white tea user management platform and outputting the data are as follows:

[0052] S81, when the white tea product is stored in real-time, the video data of the status is D. cunchu Upon completion of the generation, real-time video data of the transportation environment of the corresponding finished white tea product during transportation is collected online through cloud camera and real-time transportation environment video data E of white tea product is generated. The real-time transportation environment video data of white tea product represents the real-time video data of the on-site environment of the corresponding finished white tea product during transportation.

[0053] The system uses sensors to collect data on the temperature, humidity, light intensity, and spatial coordinates of the transportation environment of the finished white tea product during the transportation process, and generates real-time transportation environment data E' for the white tea product.

[0054] S82. Import the real-time transportation environment data E' of the white tea product into the real-time transportation environment video data E of the white tea product using video editing software with dynamic subtitles to generate real-time transportation status video data E of the white tea product. yunshu ;

[0055] S83, E real-time transportation status video data of the white tea product yunshu The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0056] This invention conveniently acquires real-time transportation environment videos and on-site environmental parameters of white tea products through cloud cameras and sensors, and processes and edits the data to generate real-time transportation status video data of white tea products, which is then fed back to the user's management platform. This achieves the effect of dynamic management and control of the entire life cycle of white tea products, including planting, processing, storage, and transportation.

[0057] A cloud computing-based white tea product lifecycle management system is used to implement the white tea product lifecycle management method. The system includes a white tea product planting management module, a white tea product processing management module, a white tea product storage management module, and a white tea product transportation management module.

[0058] The white tea product planting management module includes a real-time white tea product planting environment video acquisition unit, a real-time white tea product planting geographical environment information acquisition unit, and a white tea product planting status information processing and display unit.

[0059] The white tea product real-time planting environment video acquisition unit acquires real-time planting environment video data of white tea products through a cloud camera; the white tea product real-time planting geographical environment information acquisition unit acquires real-time planting geographical environment data of white tea products through sensors; the white tea product planting status information processing and display unit imports the white tea product real-time planting geographical environment data into the white tea product real-time planting environment video data through video editing software to generate white tea product real-time planting status video data, and uploads the white tea product real-time planting status video data to the white tea user management platform and outputs it.

[0060] The white tea product processing management module includes a real-time video acquisition unit for white tea product processing procedures, a real-time on-site environmental information acquisition unit for white tea product processing procedures, a real-time image acquisition unit for white tea product processing procedures, an image storage unit for abnormal white tea product processing procedures, an identification unit for abnormal white tea product processing procedures, and a processing and display unit for white tea product processing procedure status information.

[0061] The white tea product real-time processing video acquisition unit acquires real-time processing environmental video data of white tea products through a cloud camera; the white tea product real-time processing on-site environmental information acquisition unit acquires real-time processing on-site environmental data of white tea products through sensors; the white tea product processing real-time image acquisition unit acquires real-time processing image data of white tea products through a camera lens; the white tea product abnormal processing image storage unit stores image data of abnormal processing of white tea products; the white tea product abnormal processing identification unit performs image matching of the real-time processing image data and the abnormal processing image data of white tea products based on cloud computing, analyzes and constructs real-time abnormal processing identification data of white tea products; the white tea product processing status information processing and display unit imports the real-time processing on-site environmental data and the real-time abnormal processing identification data of white tea products into the real-time processing environmental video data of white tea products through video editing software to generate real-time processing status video data of white tea products, and uploads the real-time processing status video data of white tea products to the white tea user management platform and outputs it.

[0062] The white tea product storage management module includes a real-time storage environment video acquisition unit for white tea products, a real-time storage site environment information acquisition unit for white tea products, and a storage status information processing and display unit for white tea products.

[0063] The white tea product real-time storage environment video acquisition unit acquires video data of the white tea product's real-time storage environment through a cloud camera; the white tea product real-time storage site environment information acquisition unit acquires data of the white tea product's real-time storage site environment through sensors; the white tea product storage status information processing and display unit imports the white tea product's real-time storage site environment data into the white tea product's real-time storage environment video data through video editing software to generate white tea product real-time storage status video data, and uploads the white tea product real-time storage status video data to the white tea user management platform and outputs it.

[0064] The white tea product transportation management module includes a real-time transportation environment video acquisition unit for white tea products, a real-time transportation site environment information acquisition unit for white tea products, and a white tea product transportation status information processing and display unit.

[0065] The white tea product real-time transportation environment video acquisition unit collects real-time transportation environment video data of white tea products through a cloud camera; the white tea product real-time transportation site environment information acquisition unit collects real-time transportation site environment data of white tea products through sensors; the white tea product transportation status information processing and display unit imports the real-time transportation site environment data of white tea products into the real-time transportation environment video data of white tea products through video editing software to generate real-time transportation status video data of white tea products, and uploads the real-time transportation status video data of white tea products to the white tea user management platform and outputs it.

[0066] (III) Beneficial Effects

[0067] This invention provides a cloud computing-based system and method for managing the entire lifecycle of white tea products. It offers the following advantages:

[0068] I. By coordinating the real-time planting environment video acquisition unit and the real-time planting geographical environment information acquisition unit for white tea products, cloud cameras and sensors are used to acquire real-time videos and environmental status parameters of the planting and growth geographical environment of white tea products online, providing reliable data support for a true and intuitive feedback on the planting and growth process of white tea products; the white tea product planting status information processing and display unit edits and processes the real-time planting geographical environment parameters and real-time planting environment video parameters of white tea products and feeds them back to the system, realizing dynamic and visual feedback on the real-time planting and growth status of white tea products.

[0069] Second, through the coordinated efforts of the real-time processing video acquisition unit, the real-time processing environment information acquisition unit, and the real-time processing environmental information acquisition unit, the system efficiently acquires online video of the white tea processing process, environmental status parameters, and image parameters, providing reliable data support for intuitive feedback on the white tea processing process. The abnormal processing image storage unit and the abnormal processing identification unit work together to scientifically preset abnormal processing image parameters and combine them with a cloud-based intelligent recognition algorithm to perform image matching and intelligently analyze the abnormal processing status. The white tea processing status information processing and display unit edits and processes the real-time processing environment parameters, abnormal processing identification parameters, and video of the white tea processing process, providing a complete and clear feedback of the entire real-time processing status and achieving transparency in the white tea processing process.

[0070] Third, through the coordinated efforts of the real-time storage environment video acquisition unit, the real-time transportation environment video acquisition unit, the real-time storage site environment information acquisition unit, and the real-time transportation site environment information acquisition unit for white tea products, cloud cameras are used to conveniently acquire real-time storage environment videos and real-time transportation environment videos of white tea products. Sensors are used to efficiently collect parameters of the storage site environment and transportation site environment of white tea products, providing data support for the visual monitoring of the storage and transportation status of white tea products. The white tea product storage status information processing and display unit and the white tea product transportation status information processing and display unit work together to edit and process the real-time storage site environment parameters and real-time storage environment video data of white tea products, and the real-time transportation site environment parameters and real-time transportation environment videos of white tea products, respectively. This enables intuitive feedback on the real-time storage status and real-time transportation status of white tea products, achieving dynamic control of the entire life cycle of white tea products—planting, processing, storage, and transportation—and improving the quality of white tea products and user satisfaction. Attached Figure Description

[0071] Figure 1 A schematic diagram of the modules of the cloud computing-based white tea product lifecycle management system provided by the present invention;

[0072] Figure 2 The flowchart illustrates the method for managing the entire lifecycle of white tea products provided by this invention. Detailed Implementation

[0073] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0074] An example of the cloud-based white tea product lifecycle management system and method is as follows:

[0075] Please see Figure 1 - Figure 2 The method for managing the entire lifecycle of white tea products includes the following steps:

[0076] S1. Collect real-time video data of the planting environment of white tea products and real-time geographical environment data of white tea products.

[0077] S2. Import the real-time planting geographical environment data of white tea products into the real-time planting environment video data of white tea products through video editing software to generate real-time planting status video data of white tea products, and upload the real-time planting status video data of white tea products to the white tea user management platform and output it.

[0078] S3. When the real-time planting status video data of white tea products is generated, collect the real-time processing environmental video data of white tea products, the real-time processing on-site environmental data of white tea products, and the real-time processing image data of white tea products.

[0079] S4. Perform image matching of real-time processing process images of white tea products with image data of abnormal processing processes of white tea products to analyze and construct real-time abnormal processing process identification data of white tea products.

[0080] S5. Import the real-time processing environment data and real-time abnormal processing identification data of white tea products into the real-time processing environment video data of white tea products through video editing software to generate real-time processing status video data of white tea products. Upload the real-time processing status video data of white tea products to the white tea user management platform and output it.

[0081] S6. When the real-time processing status video data of white tea products is generated, collect the real-time storage environment video data of white tea products and the real-time storage site environment data of white tea products.

[0082] S7. Import the real-time storage environment data of white tea products into the real-time storage environment video data of white tea products through video editing software to generate real-time storage status video data of white tea products, and upload the real-time storage status video data of white tea products to the white tea user management platform and output it.

[0083] S8. When the real-time storage status video data of white tea products is generated, collect the real-time transportation environment video data and the real-time transportation site environment data of white tea products; import the real-time transportation site environment data of white tea products into the real-time transportation environment video data of white tea products through video editing software to generate the real-time transportation status video data of white tea products; upload the real-time transportation status video data of white tea products to the white tea user management platform and output it.

[0084] For further details, please refer to Figure 1 - Figure 2 The steps for collecting real-time video data of the planting environment and real-time geographical environment data of white tea products are as follows:

[0085] S11. Collect video data of the geographical environment of the corresponding tea plantation and growth stage of white tea products online through cloud lens and generate real-time video data A of the white tea product planting environment. The real-time video data of the white tea product planting environment represents the real-time video data of the tea leaves, white tea plants and geographical environment corresponding to the white tea product.

[0086] The system collects temperature, humidity, light intensity, and spatial coordinates of the geographical environment in which white tea is grown online using sensors, and generates real-time geographical environment data A' for the white tea product. The sensors include temperature sensors, humidity sensors, light intensity sensors, and location sensors.

[0087] The steps for importing real-time geographical environment data of white tea cultivation into real-time white tea cultivation environment video data using video editing software to generate real-time white tea cultivation status video data, and then uploading the real-time white tea cultivation status video data to the white tea user management platform and outputting the results are as follows:

[0088] S21. Import the real-time planting geographical environment data A' of white tea products into the real-time planting environment video data A of white tea products using video editing software with dynamic subtitles to generate real-time planting status video data A of white tea products. zhongzhi Video editing software includes any one of the following: video editor, Premiere Pro, NetEase Jianwai Workbench, and BeeCut.

[0089] S22, Transfer real-time video data of white tea product planting status A zhongzhi The data is uploaded to the white tea user management platform via the Internet of Things communication network and output through a player, which can be any one of PotPlayer, VLC, iQiyi Universal Broadcast, or QQ Video.

[0090] By combining the real-time planting environment video acquisition unit and the real-time planting geographical environment information acquisition unit for white tea products, cloud cameras and sensors are used to acquire real-time videos and environmental status parameters of the planting and growth geographical environment of white tea products online, providing reliable data support for a true and intuitive feedback on the planting and growth process of white tea products; the white tea product planting status information processing and display unit edits and processes the real-time planting geographical environment parameters and real-time planting environment video parameters of white tea products and feeds them back, realizing dynamic and visual feedback on the real-time planting and growth status of white tea products.

[0091] For further details, please refer to Figure 1 - Figure 2 Once the real-time planting status video data of white tea products is generated, the operation steps for collecting real-time processing environmental video data, real-time processing site environmental data, and real-time processing image data of white tea products are as follows:

[0092] S31, Real-time planting status video data of white tea products A zhongzhi Upon completion, video data of the on-site environment of different processing steps of white tea products are collected online through cloud cameras and real-time processing step environment video data B of white tea products is generated. The real-time processing step environment video data of white tea products represents real-time video data of the operation process and on-site environment of white tea products in different processing steps.

[0093] The temperature, humidity, light intensity, and spatial coordinates of white tea leaves at different processing stages are collected online by sensors, and real-time processing stage environmental data B' of white tea products is generated.

[0094] By capturing images of white tea leaves at different processing stages online using a camera, a real-time image data set of white tea product processing stages, B”=(b”1,…,b”), is generated. o ,…,b” ε ), o=1,2,3,…,ε; where b” o ε represents the o-th real-time processing image data of white tea product, and ε represents the maximum number of real-time processing image data of white tea product.

[0095] The steps for matching real-time processing images of white tea products with images of abnormal processing steps to construct real-time abnormal processing identification data for white tea products are as follows:

[0096] S41. Establish a set of image data C = (c1, ..., c) for abnormal processing procedures of white tea products. u ,…,c φ ), u=1,2,3,…,φ; where c uThis represents the image data of abnormal processing steps of white tea product corresponding to the abnormal processing steps of the uth type of white tea product. φ represents the maximum number of abnormal processing steps of white tea product. Abnormal processing steps of white tea product include piling up during the withering process, sun exposure causing sun spots during the drying process, and water spraying during the drying process.

[0097] S42. Use a data recognition algorithm to extract the real-time processing image data of white tea products from the real-time processing image data set B”. o Image data of abnormal processing steps of white tea products in set C u Image matching of processing steps was performed to analyze and construct real-time abnormal processing step identification data for white tea products. yichang ;Execute and construct real-time abnormal processing procedure identification data for white tea products c yichang The specific operating steps are as follows:

[0098] S421. Initialize and update the pigeon population size N and the maximum number of iterations T;

[0099] S422. Exploration Phase: The number of iterations is within the range [0, t1], where t1 = 0.8xT. During the exploration phase, it is necessary to identify the pigeon's position and target based on the processing steps, calculate the speed at which the pigeon is identified in the processing steps, and add the speed to the current position to obtain the new position. That is, search within the search space of the abnormal processing step image data set C of white tea products to find the image data b" that matches the real-time processing step image data of white tea products. o Image data of abnormal processing steps for the most matching white tea product c u The formula for calculating the pigeon's speed based on its position and processing steps is as follows: in This indicates that the processing step identifies the new velocity of pigeon i in the j-dimensional space during the exploration phase, i.e. This indicates the new speed of pigeon i in the exploratory phase of identifying abnormal processing steps of white tea products within the search space of image data set C of dimension φ; σ represents the original velocity of pigeon i in the j-dimensional space during the exploration phase of the processing step identification process, that is, the original velocity of pigeon i in the search space of the image data set C of the abnormal processing steps of white tea products in dimension φ during the exploration phase; σ is a constant with a value of 0.2, t represents the current iteration number of the algorithm, and e -σ×t Let represent an exponential function with base e, and rand be a uniformly distributed random number taking values ​​in the interval [0,1]. This represents the optimal position of the processing step identification pigeon in the j-dimensional space during the exploration phase, that is, the search within the search space of the white tea product abnormal processing step image data set C of dimension φ, which is the position of the pigeon in the j-dimensional space.o Image data of abnormal processing steps for the most matching white tea product c u Location; The new position of the processing step identification pigeon i in the j-dimensional space represents the original position of the processing step identification pigeon i in the search space of the white tea product abnormal processing step image data set C of dimension φ during the exploration phase; the formula for calculating the new position of the processing step identification pigeon is as follows: in This indicates the new position of the processing procedure identification pigeon i in the j-dimensional space during the exploration phase, that is, the new position of the processing procedure identification pigeon i in the search space of the white tea product abnormal processing procedure image data set C of dimension φ during the exploration phase;

[0100] S423. Development Phase: The development phase involves iterations within the range [t1, T]. First, the pigeon population identifying the processing steps needs to be sorted. This population is divided into two groups: excellent and ordinary. The excellent group retains its original position, while its position and fitness value are provided as parameters for the ordinary group to determine its new position. The formula for calculating the new position of the ordinary group is as follows:

[0101] in This indicates the new position of the processing step identification pigeon i in the j-dimensional space during the development stage, that is, the new position of the processing step identification pigeon i in the search space of the white tea product abnormal processing step image data set C of dimension φ during the development stage; This indicates the optimal position of the pigeon group in the j-dimensional space during the development stage of the excellent group's processing procedure identification pigeon group, that is, the search result of the pigeon group in the development stage of the abnormal processing procedure image data set C of white tea products in dimension φ, which is related to the real-time processing procedure image data b of white tea products. o Image data of abnormal processing steps for the most matching white tea product c u The best location;

[0102] S424. When the algorithm reaches the maximum number of iterations, it outputs image data b of the real-time processing steps of the white tea product. o Matching image data of abnormal processing steps in white tea products c u ;

[0103] S425. Based on the image data of abnormal processing procedures of white tea products output in step S424, c u The corresponding abnormal processing procedures for white tea products are used to construct real-time abnormal processing procedure identification data for white tea products. yichang .

[0104] The steps for importing real-time processing environment data and real-time abnormal processing identification data of white tea products into the real-time processing environment video data of white tea products using video editing software to generate real-time processing status video data of white tea products, and then uploading the real-time processing status video data of white tea products to the white tea user management platform are as follows:

[0105] S51. Combine the real-time processing environment data B' and the real-time abnormal processing identification data c of white tea products. yichang The real-time processing status video data B of white tea products is generated by importing the video data of the white tea product's processing environment into B using video editing software with dynamic subtitles. jiagong ;

[0106] S52, B. Real-time video data of white tea product processing status jiagong The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0107] Through the coordinated efforts of the real-time processing video acquisition unit, the real-time processing environment information acquisition unit, and the real-time processing environment information acquisition unit for white tea products, the system efficiently acquires online videos, environmental status parameters, and image parameters of the white tea product processing process, providing reliable data support for intuitive feedback on the white tea product processing process. The abnormal processing image storage unit and the abnormal processing identification unit work together to scientifically preset abnormal processing image parameters and combine them with cloud-based intelligent recognition algorithms to perform image matching and intelligently analyze the abnormal processing status of the white tea product. The white tea product processing status information processing and display unit edits and processes the real-time processing environment parameters, abnormal processing identification parameters, and video footage of the white tea product processing process, providing a complete and clear feedback of the entire real-time processing status and achieving transparency in the white tea product processing process.

[0108] For further details, please refer to Figure 1 - Figure 2 When the real-time processing status video data of white tea products is generated, the operation steps for collecting real-time storage environment video data and real-time storage site environment data of white tea products are as follows:

[0109] S61, Real-time processing status video data of white tea products (B) jiagongUpon completion of the generation process, real-time video data of the on-site environment of the corresponding finished white tea product in the warehouse storage process is collected online through cloud cameras, and real-time storage environment video data D of white tea product is generated. The real-time storage environment video data of white tea product represents the real-time video data of the finished white tea product and the storage environment in the warehouse storage process.

[0110] The system uses sensors to collect data on the temperature, humidity, light intensity, and spatial coordinates of the white tea product's on-site environment during warehouse storage, generating real-time storage environment data D' for the white tea product.

[0111] The steps for importing real-time storage environment data of white tea products into the real-time storage environment video data of white tea products using video editing software to generate real-time storage status video data of white tea products, and then uploading the real-time storage status video data of white tea products to the white tea user management platform and outputting the results are as follows:

[0112] S71. Import the real-time storage environment data D' of white tea products into the real-time storage environment video data D of white tea products using video editing software with dynamic subtitles to generate real-time storage status video data D of white tea products. cunchu ;

[0113] S72, Store the real-time status video data of white tea products D cunchu The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0114] Once the real-time storage status video data of white tea products is generated, the following steps are taken: First, collect real-time transportation environment video data and real-time on-site transportation environment data of white tea products. Then, import the real-time on-site transportation environment data of white tea products into the real-time transportation environment video data using video editing software to generate real-time transportation status video data of white tea products. Finally, upload the real-time transportation status video data of white tea products to the white tea user management platform and output the results.

[0115] S81, When the white tea product is stored in real-time, the video data shows its status. cunchu Upon completion of the process, real-time video data of the transportation environment of the finished white tea product during transportation is collected online via cloud camera and real-time transportation environment video data E of white tea product is generated. The real-time transportation environment video data of white tea product represents the real-time video data of the on-site environment of the finished white tea product during transportation.

[0116] The system uses sensors to collect data on the temperature, humidity, light intensity, and spatial coordinates of the transportation environment of the finished white tea product during the transportation process, and generates real-time transportation environment data E' for the white tea product.

[0117] S82. Import the real-time transportation environment data E' of white tea products into the real-time transportation environment video data E of white tea products using video editing software with dynamic subtitles to generate real-time transportation status video data E of white tea products. yunshu ;

[0118] S83, Real-time transportation status video data of white tea products E yunshu The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

[0119] By coordinating among the real-time storage environment video acquisition unit, the real-time transportation environment video acquisition unit, the real-time storage site environment information acquisition unit, and the real-time transportation site environment information acquisition unit for white tea products, cloud cameras are used to conveniently acquire real-time storage and transportation environment videos of white tea products. Sensors efficiently collect parameters of the storage and transportation site environment status of white tea products, providing data support for the visual monitoring of the storage and transportation status of white tea products. The storage status information processing and display unit and the transportation status information processing and display unit work together to edit and process the real-time storage site environment parameters and video data of white tea products, and the real-time transportation site environment parameters and video data of white tea products, respectively. This enables intuitive feedback on the real-time storage and transportation status of white tea products, achieving dynamic management and control of the entire life cycle of white tea products—planting, processing, storage, and transportation—and improving the quality of white tea products and user satisfaction.

[0120] The cloud computing-based white tea product lifecycle management system is used to implement a method for managing the entire lifecycle of white tea products. The system includes modules for white tea product planting management, white tea product processing management, white tea product storage management, and white tea product transportation management.

[0121] The white tea product planting management module includes a real-time white tea product planting environment video acquisition unit, a real-time white tea product planting geographic environment information acquisition unit, and a white tea product planting status information processing and display unit.

[0122] The real-time planting environment video acquisition unit for white tea products collects real-time video data of the planting environment of white tea products through cloud cameras; the real-time planting geographical environment information acquisition unit for white tea products collects real-time planting geographical environment data of white tea products through sensors; the white tea product planting status information processing and display unit imports the real-time planting geographical environment data of white tea products into the real-time planting environment video data of white tea products through video editing software to generate real-time planting status video data of white tea products, and uploads the real-time planting status video data of white tea products to the white tea user management platform and outputs it.

[0123] The white tea product processing management module includes a real-time video acquisition unit for white tea product processing procedures, a real-time on-site environmental information acquisition unit for white tea product processing procedures, a real-time image acquisition unit for white tea product processing procedures, an image storage unit for white tea product abnormal processing procedures, a white tea product abnormal processing procedure identification unit, and a white tea product processing procedure status information processing and display unit.

[0124] The white tea product real-time processing video acquisition unit collects real-time video data of the white tea product processing process through cloud cameras; the white tea product real-time processing on-site environmental information acquisition unit collects real-time on-site environmental data of the white tea product processing process through sensors; the white tea product processing real-time image acquisition unit collects real-time image data of the white tea product processing process through cameras; the white tea product abnormal processing image storage unit stores image data of abnormal white tea product processing processes; the white tea product abnormal processing identification unit performs image matching of the real-time white tea product processing process image data and the white tea product abnormal processing process image data based on cloud computing, analyzes and constructs real-time abnormal white tea product processing process identification data; the white tea product processing process status information processing and display unit imports the real-time white tea product processing on-site environmental data and the white tea product real-time abnormal processing process identification data into the real-time white tea product processing process environmental video data through video editing software to generate real-time white tea product processing process status video data, and uploads the real-time white tea product processing process status video data to the white tea user management platform and outputs it.

[0125] The white tea product storage management module includes a real-time storage environment video acquisition unit for white tea products, a real-time storage site environment information acquisition unit for white tea products, and a storage status information processing and display unit for white tea products.

[0126] The real-time storage environment video acquisition unit for white tea products acquires video data of the real-time storage environment of white tea products through a cloud camera; the real-time storage site environment information acquisition unit for white tea products acquires data of the real-time storage site environment of white tea products through sensors; the storage status information processing and display unit for white tea products imports the real-time storage site environment data of white tea products into the real-time storage environment video data of white tea products through video editing software to generate real-time storage status video data of white tea products, and uploads the real-time storage status video data of white tea products to the white tea user management platform and outputs it.

[0127] The white tea product transportation management module includes a real-time transportation environment video acquisition unit for white tea products, a real-time transportation site environment information acquisition unit for white tea products, and a white tea product transportation status information processing and display unit.

[0128] The real-time transportation environment video acquisition unit for white tea products collects real-time transportation environment video data through cloud cameras; the real-time transportation site environment information acquisition unit for white tea products collects real-time transportation site environment data through sensors; and the white tea product transportation status information processing and display unit imports the real-time transportation site environment data for white tea products into the real-time transportation environment video data through video editing software to generate real-time transportation status video data for white tea products, and uploads the real-time transportation status video data for white tea products to the white tea user management platform and outputs it.

[0129] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for managing the entire lifecycle of white tea products, characterized in that, include: S1. Collect real-time video data of the planting environment of white tea products and real-time geographical environment data of white tea products. S2. Import the real-time planting geographical environment data of white tea products into the real-time planting environment video data of white tea products using video editing software to generate real-time planting status video data of white tea products. Upload the real-time planting status video data of white tea products to the white tea user management platform and output it. S3. When the real-time planting status video data of white tea products is generated, collect the real-time processing process environment video data, the real-time processing process on-site environment data, and the real-time processing process image data of white tea products. S4. Perform image matching of the real-time processing process image data and the abnormal processing process image data of white tea products to analyze and construct real-time abnormal processing process identification data of white tea products. S5. Import the real-time processing process on-site environment data and the real-time abnormal processing process identification data of white tea products into the real-time processing process environment video data of white tea products using video editing software to generate real-time processing process status video data of white tea products. Upload the real-time processing process status video data of white tea products to the white tea user management platform and output it. S6. When the real-time processing process status video data of white tea products is generated, collect the real-time storage environment video data and the real-time storage on-site environment data of white tea products. S7. Import the real-time storage environment data of white tea products into the real-time storage environment video data of white tea products through video editing software to generate real-time storage status video data of white tea products, and upload the real-time storage status video data of white tea products to the white tea user management platform and output it. Including S71, which stores real-time environmental data of white tea products. Import real-time storage environment video data of white tea products using video editing software with dynamic subtitles. Real-time storage status video data of white tea products generated in the middle S72. Store real-time status video data of white tea products. Uploaded to the white tea user management platform via the Internet of Things communication network and output through a player; S8. When the real-time storage status video data of white tea products is generated, collect the real-time transportation environment video data and the real-time transportation site environment data of white tea products; import the real-time transportation site environment data of white tea products into the real-time transportation environment video data of white tea products through video editing software to generate the real-time transportation status video data of white tea products, and upload the real-time transportation status video data of white tea products to the white tea user management platform and output it; including S81, when the real-time storage status video data of white tea products... Upon completion, real-time video data of the transportation environment of the white tea product is collected online via cloud cameras during the transportation process, and real-time transportation environment video data of the white tea product is generated. The real-time transportation environment video data of white tea products represents the real-time video data of the on-site environment of the corresponding finished tea products during transportation. The system uses sensors to collect real-time environmental data of the white tea product's transportation environment during the transportation process, including temperature, humidity, light intensity, and spatial coordinates. S82. Real-time environmental data of white tea product transportation site. Import real-time transportation environment video data of white tea products using video editing software with dynamic subtitles. Real-time video data on the transportation status of white tea products generated in China S83. Real-time video data of white tea product transportation status. The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

2. The method for full life-cycle management of white tea products according to claim 1, characterized in that: S1 includes the following steps: S11. Collect video data of the geographical environment corresponding to the tea planting and growth stages of white tea products online through cloud cameras and generate real-time video data of the white tea planting environment. The real-time video data of the planting environment of white tea products represents real-time video data of the tea leaves, white tea plants and geographical environment corresponding to the white tea products; The system uses sensors to collect data online on the temperature, humidity, light intensity, and spatial coordinates of the geographical environment in which white tea is grown, generating real-time geographical environment data for white tea cultivation. The sensors include temperature sensors, humidity sensors, light intensity sensors, and position sensors.

3. The method for full life-cycle management of white tea products according to claim 2, characterized in that: S2 includes the following steps: S21. Real-time geographical environment data of white tea planting products Import real-time video data of the white tea growing environment into video editing software using dynamic subtitles. Real-time video data on the planting status of white tea products generated in China Video editing software includes any one of the following: video editor, Premiere Pro, NetEase Jianwai Workbench, and BeeCut. S22. Real-time video data of white tea product planting status The data is uploaded to the white tea user management platform via the Internet of Things communication network and output through a player, which can be any one of PotPlayer, VLC, iQiyi Universal Broadcast, or QQ Video.

4. The method for full life-cycle management of white tea products according to claim 3, characterized in that: S3 includes the following steps: S31, Real-time video data of white tea product planting status Upon completion, the system uses cloud cameras to collect video data of the on-site environment at different processing stages of white tea products and generates real-time video data of the white tea product's processing stages. The real-time processing environment video data of white tea products represents real-time video data of the tea leaves during different processing steps and the on-site environment. The system uses sensors to collect real-time environmental data of white tea products at different processing stages, including temperature, humidity, light intensity, and spatial coordinates. ; The system captures images of white tea leaves at different processing stages using a camera, and generates a real-time image data set of white tea product processing stages. , ;in Indicates the number of collections Real-time processing image data of white tea products. This represents the maximum number of real-time processing images of white tea products.

5. The method for full life-cycle management of white tea products according to claim 4, characterized in that: S4 includes the following steps: S41. Establish a set of image data for abnormal processing procedures of white tea products. , ;in Indicates the first Image data of abnormal processing steps in white tea products. This indicates the maximum number of abnormal processing steps in white tea products. Abnormal processing steps in white tea products include piling up during the withering process, sun exposure causing sun spots during the drying process, and sprinkling water during the drying process. S42. Use data recognition algorithms to collect real-time processing image data of white tea products. Real-time processing image data of Zhongbai tea products Image data set of abnormal processing procedures for white tea products Image data of abnormal processing steps in Zhongbai tea products Image matching of processing steps was performed to analyze and construct real-time abnormal processing step identification data for white tea products. ; Execute and construct real-time abnormal processing procedure identification data for white tea products The specific operating steps are as follows: S421. Initialize and update the pigeon population size N and the maximum number of iterations T; S422. Exploration Phase: The number of iterations is within the range [0, t1], where t1 = 0.8 x T. During the exploration phase, it is necessary to identify the pigeon's position and target based on the processing steps, calculate the speed at which the pigeon is identified in the processing steps, and add the speed to the current position to obtain the new position. This is the image data set of abnormal processing steps in white tea products. The search space yielded images of real-time processing steps for white tea products. Image data of abnormal processing steps for the most suitable white tea products Location; S423. In the development phase, the number of iterations is within the range of [t1, T]. First, the pigeons identifying the processing steps need to be sorted. The pigeons identifying the processing steps are divided into two groups: excellent and ordinary. The pigeons in the excellent group keep their positions unchanged. At the same time, their positions and fitness values ​​are provided as parameters for the pigeons in the ordinary group to determine their new positions. S424. When the algorithm reaches the maximum number of iterations, it outputs image data of the real-time processing steps of white tea products. Matching image data of abnormal processing steps in white tea products ; S425. Based on the image data of abnormal processing procedures for white tea products output in step S424. The corresponding abnormal processing procedures for white tea products are used to construct real-time abnormal processing procedure identification data for white tea products. .

6. The method for full life-cycle management of white tea products according to claim 5, characterized in that: S5 includes the following steps: S51. Real-time environmental data of white tea product processing procedures. Real-time abnormal processing data for white tea products Import real-time processing environment video data of white tea products using video editing software with dynamic subtitles. Real-time video data of the processing status of white tea products generated in China ; S52. Real-time video data of white tea product processing status The data is uploaded to the white tea user management platform via the Internet of Things (IoT) communication network and output through a player.

7. The method for full life-cycle management of white tea products according to claim 6, characterized in that: S6 includes the following steps: S61, Real-time processing status video data of white tea products Upon completion, real-time video data of the white tea product's storage environment during warehouse storage is collected online via cloud cameras, and real-time storage environment video data of the white tea product is generated. The real-time storage environment video data of white tea products represents real-time video data of the finished white tea products and the storage environment during the warehouse storage process. The system uses sensors to collect real-time environmental data on the storage environment of white tea products during warehouse storage, including temperature, humidity, light intensity, and spatial coordinates. .

8. A cloud computing-based white tea product lifecycle management system, used to implement the white tea product lifecycle management method according to any one of claims 1-7, characterized in that: The system includes modules for white tea product planting management, white tea product processing management, white tea product storage management, and white tea product transportation management.

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